Miracle-dz/UniFAR-FTUs huggingface dataset:
Hand motion modeling for psychology analysis in job interview using optical flow-history motion image: OF-HMI

To survive the competition, companies always think about having the best employees. The selection is depended on the answers to the questions of the interviewer and the behavior of the candidate during the interview session. The study of this behavior is always based on a psychological analysis of the movements accompanying the answers and discussions. Few techniques are proposed until today to analyze automatically candidate’s non verbal behavior. This paper is a part of a work psychology recognition system; it concentrates in spontaneous hand gesture which is very significant in interviews according to psychologists. We propose motion history representation of hand based on an hybrid approach that merges optical flow and history motion images. The optical flow technique is used firstly to detect hand motions in each frame of a video sequence. Secondly, we use the history motion images (HMI) to accumulate the output of the optical flow in order to have finally a good representation of the hand‘s local movement in a global temporal template.
Privacy Preservation in Sequential Published Social Networks Against Mutual Friend Attack

In recent years the social networks are widely used the way of connecting people, interact with each other and share the information. The social network data is rich in content and the data are published for third party users such as researchers. The social interaction between individual’s changes rapidly as time changes so there is a need of privacy preserving in dynamic networks. An adversary can acquire some local knowledge about individuals in the network and can easily breach the privacy of a few victims. This paper mainly focuses on preserving privacy in sequential published network data where the adversary has some knowledge about the number of mutual friends of the target victims over a time period. The kw-Number of Mutual Friend Anonymization model is proposed to anonymize each sequential published network. In this privacy model, k indicates the privacy level and w is the time interval taken by the adversary to acquire the knowledge of the victim. By this approach the adversary cannot identify the victim by acquiring the knowledge of each sequential published data. The performance evaluation shows that the proposed approach can preserve many characteristics of the dynamic social networks.
Bringing Textual Descriptions to Life : Semantic Parsing of Requirements Documents into Executable Scenarios

We present an end-to-end framework for translating natural language (NL) requirements into executable systems. Specifically, we implement semantic parsers for two sorts of input: (i) requirements documents written in a controlled natural language (CNL), and (ii) requirements documents written in NL. For each requirements document, we output the system model (SM) architecture along with a set of live sequence charts (LSCs) that capture the dynamic behavior of the specified system. Our parsers are embedded in PlayGo, a development environment for specifying (playing-in) requirements as LSCs and executing (playing-out) the resulting behavior. Thus, our output systems may be depicted visually, executed interactively, or provided as a standalone Java executable. PlayGo further allows for post-editing the predicted output via a friendly GUI, thus enabling the rapid development of parallel text:code data for statistical natural language programming.
Ontology Enrichment by Extracting Hidden Assertional Knowledge from Text

Abstract —In this position paper we present a new approach for discovering some special classes of assertional knowledge in the text by using large RDF repositories, resulting in the extraction of new non-taxonomic ontological relations. Also we use inductive reasoning beside our approach to make it outperform. Then, we prepare a case study by applying our approach on sample data and illustrate the soundness of our proposed approach. Moreover in our point of view current LOD cloud is not a suitable base for our proposal in all informational domains. Therefore we figure out some directions based on prior works to enrich datasets of Linked Data by using web mining. The result of such enrichment can be reused for further relation extraction and ontology enrichment from unstructured free text documents. Keywords-Assertional knowledge; Linked Data; invisible information; ontological knowledge; web mining I. concepts of the ontology. Actually we see Linked Data as a I NTRODUCTION Information Extraction is categorized into three tasks [21]: Named Entity (in a nutshell NE) Recognition, Named Entity Disambiguation and Relation Extraction. Actually recognition of named entities deals with finding textual mentions of entities which belong to a set of categories including persons, organizations, places, etc. In disambiguation of named entities we relate the mentions of entities in the text to an external entity. Finally in relation extraction process we extract semantic relations between predefined named entities. By applying relation extraction process we can convert unstructured data (we mean free texts) into structured data. This makes it possible to apply so many algorithms in the field of data mining, question answering and semantic web [21]. To the best of our knowledge current methods for relation extraction are classified as follows: Manual relation extraction methods, supervised methods, semi-supervised methods and unsupervised methods. With emerging the web of Linked Data, so many researchers have tried to make use of its potential benefits [1, 2, 16, 17 and 30]. Also we believe that Linked Data has hidden potential benefits. There are some approaches which uses Linked Data to discover the relations between NE pairs in a text [3].
Automatic annotation of Latin vowel length

This thesis describes a system for annotating Latin texts with vowel lengths using a PoS tagger, a lemmatizer, and the Latin morphological analyzer Morpheus. Three taggers, HunPos, RFTagger, and MATE tools, were optimized and evaluated for this task, and trained on two different corpora, the Latin Dependency Treebank (LDT) and PROIEL. The best tagging results were achieved by RFTagger with 86.73% accuracy on the full morphological PoS tags in LDT, and by MATE tools with 90.42% accuracy when predicting the corresponding combined plain PoS and morphological descriptors of PROIEL. With RFTagger trained on either of the two corpora, the complete system was tested on four different texts and was found to agree with the human annotator on about 98% of the vowel lengths.
Recursive Identification of Cornering Stiffness Parameters for an Enhanced Single Track Model

The current development of safety systems within the automotive industry heavily relies on the ability to perceive the environment. This is accomplished by using measurements from several different sensors within a sensor fusion framework. One important part of any system of this kind is an accurate model describing the motion of the vehicle. The most commonly used model for the lateral dynamics is the single track model, which includes the so called cornering stiffness parameters. These parameters describe the tire-road contact and are unknown and even time-varying. Hence, in order to fully make use of the single track model, these parameters have to be identified. The aim of this work is to provide a method for recursive identification of the cornering stiffness parameters to be used on-line while driving.
A new decoding algorithm for geometrically uniform trellis codes

A new decoding algorithm for geometrically uniform trellis codes exploiting the group structure of the codes is presented. The algorithm complexity does not depend on the number of states of the trellis describing the code. Performance of the algorithm are evaluated through simulation and its complexity is compared to the Viterbi algorithm. <<ETX>>
The PID Control for Electro-hydraulic Servo System Based on Orthogonal Test

To increase control precision and improve dynamic characteristic of electro hydraulic position servo system, a method of processing data called orthogonal test that usually adopted in chemical experiment is applied. After parameters are ensured, the Critical gain KV of the open-loop system is determined by the Stability, then the factors are determined and the orthogonal table is constituted to try out. In the end, the dynamical characteristics of the system are simulated by SIMULINK software. Thus the optimum PID parameters can be achieved. Through the method above, we can avoid a lot of complex trials which determine PID parameters and get more efficient. It is shown by simulation that the PID rectification for electro-hydraulic position servo system using orthogonal test increases fairly control precision, rapidity of step response and make the quality of the control system best.
Benzyl Benzoate-Loaded Microemulsion for Topical Applications: Enhanced Dermatokinetic Profile and Better Delivery Promises

Benzyl benzoate (BB) is one of the oldest drugs used for the treatment of scabies and is recommended as the “first-line intervention” for the cost-effective treatment of the disease. Though a promising candidate, its application is reported to be associated with irritation of the skin and eye, resulting in poor patient compliance. Hence, the present study aims to develop BB-loaded topical microemulsion for the safer and effective delivery of BB. Pseudo-ternary phase diagrams with BB as the oily phase itself, along with Tween 80 as surfactant, and mixture of phospholipid and ethanol as the co-surfactant along with aqueous solution as the external phase were constructed and various compositions were formulated. The optimized formulation was characterized for particle-size, zeta-potential, drug-content, globule-morphology pH, and refractive-index, whereas evaluated for skin permeation, retention, compliance, and dermatokinetics. The nanosized formulation offered threefold higher drug permeation vis-a-vis plain drug solution across LACA mice abdominal skin. The drug retention of the selected formulation was nearly twice of that from the marketed product, assuring depot formulation and sustained release. The skin histopathology revealed the non-irritant nature of the formulation, as no changes in the normal skin histology were observed. The dermatokinetic studies confirmed better permeation and enhanced skin bioavailability of BB to epidermis as well as dermis vis-à-vis the conventional product. The results indicate that the developed lipid-based microemulsion hydrogel can alleviate the concerns associated with BB and can provide a better and safer delivery option in substantial amounts to various skin layers.
Process Customization Framework in SaaS Applications

SaaS (Software as a Service) is widely used as a model for selling software. SaaS applications are on the software provider and can be accessed via the Internet. The SaaS applications have the same basic functions in the template file and the template file can be configured by tenant administrators to meet the individual demands. Workflow is used in SaaS applications and business processes need to be customized to adapt individual requirement. This paper represents a process customization framework that can customize and configure processes while guarantee the tenancy isolation. After the customization, there must be multiple versions of processes based on one basic template process. The collection of customized processes is necessary for ISVs because customized processes reflect demanding information of tenants.
Extrinsic information transfer charts for narrow-band multiple access

Convergence analysis of iterative detectors for narrowband multiple access is performed by using extrinsic information transfer charts. The system has no bandwidth expansion, so K users are using the same bandwidth as one single user. The load (the number of bits per channel use) of the system is therefore higher than the load in, for example, conventional CDMA systems. The analysis provide useful guidelines how to combine outer codes with the chosen mapper for diﬀerent loads of the system. Both memoryless mappers and diﬀerential mappers are evaluated. The limitations of the system measured in the maximum number of users and the required SNR for diﬀerent scenarios are presented.
New Interface Design Using Accelerator Sensor for Smart Phone

Touch screen interface is inconvenient since it requires both hands. So this study suggests new interface as replacement. Smart devices use built-in acceleration sensor. Low pass filter and Kalman filter reduce noise and variability of the output of the acceleration sensor to enhance precision and certainty, which is then applied in widgets or menus to test usability and functionality through experiments. Besides, sensor-based color detector is used to realize real-time color detection of the camera output image, and to search color information of the image, which is then analyzed and inferred for face detection. With the suggested algorithm, we can detect the face image even when it is slanted. Also, real-time detection of color information depending on the environment is possible. Experiments have proven its features which are particularly strong in the changes in the environment. The suggested algorithm is useful for further studies concerning various interfaces on smartphone.
On the Search for Quasar Light Echoes

The UV radiation from a quasar leaves a characteristic pattern in the distribution of ionized hydrogen throughout the surrounding space. This pattern or light echo propagates through the intergalactic medium at the speed of light, and can be observed by its imprint on the Lyα forest spectra of background sources. As the echo persists after the quasar has switched off, it offers the possibility of searching for dead quasars, and constraining their luminosities and lifetimes. We outline a technique to search for and characterize these light echoes. To test the method, we create artificial Lyα forest spectra from cosmological simulations at z = 3, apply light echoes and search for them. We show how the simulations can also be used to quantify the significance level of any detection. We find that light echoes from the brightest quasars could be found in observational data. With absorption-line spectra of 100 redshift z ∼ 3–3.5 quasars or galaxies in a 1 deg2 area, we expect that ~10 echoes from quasars with B-band luminosities LB = 3 × 1045 ergs−1 exist that could be found at 95% confidence, assuming a quasar lifetime of ~107 yr. Even a null result from such a search would have interesting implications for our understanding of quasar luminosities and lifetimes.
IULA's LSP Multilingual Corpus: compilation and processing

The Institut Universitari de Linguistica Aplicada (Institute for Applied Linguistics), known as IULA, is a public institution that belongs to the Universitat Pompeu Fabra (UPF) in Barcelona and is closely connected to the Translators and Interpreters Faculty of UPF. IULA is devoted to both postgraduate teaching and research in applied linguistics, covering basically the following fields: lexicology, lexicography and terminology; computational linguistics and linguistic engineering; and language variation. Although within each of these areas different, specific projects are being carried out, there is a single unifying project to which every researcher in IULA contributes to some extent, namely the creation of computer based resources for linguistic research in the fields covered by IULA’s main research areas. This common project consists in the creation of a language for specific purposes (LSP), multilingual corpus1. It is primarily intended to be useful for researchers in the areas of applied linguistics that are under focus in IULA and for the teaching activities in IULA and in the translators’ faculty. But we also foresee collaboration with other research centres, both public and private: IULA is already heavily involved in a joint project on computational resources for Catalan with other research institutions in Catalunya. The creation of the LSP, multilingual corpus implies three basic steps: the compilation of the corpus, its processing, and its exploration. In section 1 we discuss the main decisions taken on the compilation of the corpus and the way it is internally organised. In section 2, we present the current state of development and integration of corpus processing tools. The integration of processing tools follows naturally the compilation of the corpus itself and we develop them only in case we have not found already existing tools which are available and easily adapted and integrated to our environment. The various subsections in section 2 cover the different processing levels that we foresee for Catalan, Spanish and English: structural tagging, text handling, morphological analysis, morphological disambiguation and syntactic analysis.
Effects of Space on MIMO Capacity: A New Closed Form Upper Bound

We present a new upper bound on capacity for multiple-input multiple-output (MIMO) wireless fading channels which is more general and realistic than previous capacity expressions. By including spatial information at the antenna arrays we derive a closed form upper bound on capacity which uses the physics of signal propagation combined with statistics of the scattering environment. This expression gives the capacity of a MIMO system in terms of antenna placement and scattering environment and leads to valuable insights into the factors determining capacity for a wide range of scattering models. Index Terms MIMO systems, wireless, capacity, diversity, correlation, multi-element antenna arrays, multipath channels, nonisotropic scattering
The Impact of Child Work on Cognitive Development: Results from Four Low to Middle Income Countries

We study the impact of child work on cognitive development in four Low- and Middle-Income Countries. We advance the literature by using cognitive test scores collected regardless of school attendance. We also address a key gap in the literature by controlling for children’s complete time allocation budget. This allows us to estimate effects of different types of work, like chores and market/farm work, relative to specific alternative time-uses, like school or study or play/leisure. Our results show child work is more detrimental to child development to the extent that it crowds out school/study time rather than leisure. We also show the adverse effect of time spent on domestic chores is similar to time spent on market and farm work, provided they both crowd out school/study time. Thus, policies to enhance child development should target a shift from all forms of work toward educational activities.
Efficient Global Approximation of Generalized Nonlinear ℓ1-Regularized Solution Paths and Its Applications

We consider efficient construction of nonlinear solution paths for general ℓ1-regularization. Unlike the existing methods that incrementally build the solution path through a combination of local linear approximation and recalibration, we propose an efficient global approximation to the whole solution path. With the loss function approximated by a quadratic spline, we show that the solution path can be computed using a generalized Lars algorithm. The proposed methodology avoids high-dimensional numerical optimization and thus provides faster and more stable computation. The methodology also can be easily extended to more general regularization framework. We illustrate such flexibility with several examples, including a generalization of the elastic net and a new method that effectively exploits the so-called “support vectors” in kernel logistic regression.
The Open University ’ s repository of research publications and other research outputs Combining temporal and spectral information with spatial mapping to identify differences between phonological and semantic networks : a Magnetoencephalographic ( MEG ) approach

(2012). Combining temporal and spectral information with spatial mapping to identify differences between phonological and semantic networks: a Magnetoencephalographic (MEG) approach. Frontiers in Psychology , 3(273) For guidance on citations see FAQs. Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Early, lesion-based models of language processing suggested that semantic and phono-logical processes are associated with distinct temporal and parietal regions respectively, with frontal areas more indirectly involved. Contemporary spatial brain mapping techniques have not supported such clear-cut segregation, with strong evidence of activation in left temporal areas by both processes and disputed evidence of involvement of frontal areas in both processes. We suggest that combining spatial information with temporal and spectral data may allow a closer scrutiny of the differential involvement of closely overlapping cortical areas in language processing. Using beamforming techniques to analyze magnetoencephalography data, we localized the neuronal substrates underlying primed responses to nouns requiring either phonological or semantic processing, and examined the associated measures of time and frequency in those areas where activation was common to both tasks. Power changes in the beta (14–30 Hz) and gamma (30–50 Hz) frequency bands were analyzed in pre-selected time windows of 350–550 and 500–700 ms In left temporal regions, both tasks elicited power changes in the same time window (350–550 ms), but with different spectral characteristics, low beta (14–20 Hz) for the phonological task and high beta (20–30 Hz) for the semantic task. In frontal areas (BA10), both tasks elicited power changes in the gamma band (30–50 Hz), but in different time windows, 500–700 ms for the phonological task and 350–550 ms for the semantic task. In the left inferior parietal area (BA40), both tasks elicited changes in the 20–30 Hz beta frequency band but in different time windows, 350–550 ms for the phonological task and 500–700 ms for the semantic task. Our findings suggest that, where spatial measures may indicate overlapping areas of involvement, additional beamforming techniques can demonstrate differential activation in time and frequency domains.
SITUATED PRACTICES OF COMPUTER WORKAROUNDS IN A HOSPITAL MEDICATION SYSTEM: A CASE STUDY.

Recent IT research casts computer workarounds as nominal and aggregate phenomena analyzing their antecedent conditions and their impact. This paper focuses on the content and processes of computer workarounds as situated work practices using negotiated order as a conceptual framework. We propose that some workarounds are based on an alternate negotiated order and may entail coordinated action that goes beyond prior formulations of workarounds as "hacks" or "tweaks" by individual computer users.
Multi-dimensional simulation of plasma-solid interaction in magnetized plasma

The contribution presents results of the computer experiment describing the interaction of low-temperature electropositive plasma with immersed metal substrates. The transport of electrons and ions is studied via computer experiment. The basic method of simulation was the self-consistent PIC-MC technique. This contribution analyses performance of computer codes prepared for the study of plasma-solid interaction in magnetized plasma in more dimensions. The prepared programs are applied to the analysis of probe diagnostics of slightly ionized low-temperature plasma and the possibilities of its application to the diagnostics of fully ionized edge plasma are discussed as well.