Miracle-dz/UniFAR-FTUs huggingface dataset:
LOW-COST WHEELED ROBOT-BORNE LASER SCANNING SYSTEM FOR INDOOR AND OUTDOOR 3D MAPPING APPLICATION

Abstract. Aiming to accomplish automatic and real-time three-dimensional mapping in both indoor and outdoor scenes, a low-cost wheeled robot-borne laser scanning system is proposed in this paper. The system includes a laser scanner, an inertial measurement unit, a modified turtlebot3 two-wheel differential chassis and etc. To achieve a globally consistent map, the system performs global trajectory optimization after detecting the loop closure. Experiments are undertaken in two typical indoor/outdoor scenes that is an underground car park and a road environment in the campus of Wuhan University. The point clouds acquired by the proposed system are quantitatively evaluated by comparing the derived point clouds with the ground truth data collected by a RIEGL VZ 400 laser scanner. The results present an accuracy of 90% points below 0.1 meter error in the tested scene, showing that its applicability and potential in indoor and mapping applications.
An Experimental Comparative Study on Three Classification Algorithms

Classification algorithm is one of the key techniques to affect text automatic classification system's performance, play an important role in automatic classification research area. This paper comparatively analyzed k-NN. VSM and hybrid classification algorithm presented by our research group. Some 2000 pieces of Internet news provided by ChinaInfoBank are used in the experiment. The result shows that the hybrid algorithm's performance presented by the groups is superior to the other two algorithms.
Efficient Database Distribution Using Local Search Algorithm

A problem in railway database is identied. Focus of the problem is to reduce the average response time for all the read and write queries to the railway database. One way of doing this is by opening more than one database servers and distributing the database across these servers to improve the performance. In this work we are proposing an ecient distribution of the database across these servers considering read and write request frequencies at all locations. The problem of database distribution across dierent locations is mapped to the well studied problem called Uncapacitated Facility Location(UFL) problem. Various techniques such as greedy approach, LP rounding technique, primal-dual technique and local search have been proposed to tackle this problem. Of those, we are using local search technique in this work. In particular, poly- nomial version of the local search approximation algorithm is used to solve the railway database problem. Distributed database is implemented using postgresql database server and jboss appli- cation server is used to manage the global transaction. On this architecture, database is distributed using the local optimal solution obtained by local search algorithm and it is compared with other solutions in terms of the average response time for the read and write requests.
A Review on Different Control Techniques used for Pitch Control of Horizontal Axis Wind Turbine

In wind turbine technology, the pitch control mechanism of blades is a very important factor for the efficient power output of a wind turbine. Various control techniques can be implemented for pitch control. This paper deals with the study and review of different control methodologies used by the researchers and engineers to control the pitch angle of the blades of a horizontal axis wind turbine to optimize the power in low rated wind speed. This paper involves the study of PI, PID, Fuzzy logic control, Sliding mode control and Adaptive control methodologies.
Annotating racism: A corpus-based study of cross-linguistic racist discourse: annotation and analysis

This holds increasingly true also for translation corpora, with a particular focus on the examination of translation strategies and norms [2] [4]. This paper presents an ongoing PhD research to examine, from a descriptive viewpoint, and hence annotate, the translational norms of the socio-culturally marked discourse of racism, and the shifts remarked during the discourse transfer from a source language (EN) to two target-languages (EL&ES). Our aim is to present problems and impediments that arise during the annotation process applied in this study. Our work so far reveals issues related both to the annotation methodology and schemata and the implementation of the annotation process in the software utilised.
Perceived Overqualification, Boredom, and Extra-Role Behaviors: Testing a Moderated Mediation Model

Despite increasing research on the mechanisms that underlie the relation between perceived overqualification (POQ) and extra-role behaviors, the relation’s affective mechanisms have been understudied. In this study, we focus on the role of job boredom among overqualified workers in order to understand two types of extra-role behaviors: counterproductive work behaviors (CWB) and organizational citizenship behaviors (OCB). Using a sample of white-collar employees in South Korea (N = 298), we found that job boredom fully mediated the effects of POQ on CWB and OCB after controlling for the effects of state anger and neuroticism. We additionally examined whether career calling moderates the indirect effects of POQ on CWB and OCB via job boredom and found career calling mitigated the negative indirect effect of POQ on OCB via job boredom. However, career calling did not moderate the positive indirect effect of POQ on CWB. Implications of these findings are discussed.
Embedding employability in language learning: video CV in Spanish

The drive to embed employability in Higher Education (HE) offers a growth opportunity for languages provision. The employability potential of language learning for the global graduate has been analysed by the Born Global project on languages and employability (British Academy, 2016). Employers have consistently identified communication and resilience, skills often imparted in learning language programmes, as highly sought after skills (World Economic Forum, 2018). Extensive evidence of the skill-set associated with language learning recently collected in the comprehensive volume Employability for languages: a handbook, edited by Corradini, Borthwick, and Gallagher-Brett (2016). In the same spirit of disseminating projects that equip students for real-life situations and introduce them to the world of work, this paper proposes the creation of a video CV as an innovative activity to integrate language learning and employability. Although the case study relates to Spanish, the process and steps identified can be easily adapted to other languages.
Hybrid Post-Quantum Key Encapsulation Methods (PQ KEM) for Transport Layer Security 1.2 (TLS)

Hybrid key exchange refers to executing two independent key exchanges and feeding the two resulting shared secrets into a Pseudo Random Function (PRF), with the goal of deriving a secret which is as secure as the stronger of the two key exchanges. This document describes new hybrid key exchange schemes for the Transport Layer Security 1.2 (TLS) protocol. The key exchange schemes are based on combining Elliptic Curve Diffie-Hellman (ECDH) with a post-quantum key encapsulation method (PQ KEM) using the existing TLS PRF. In particular, this document specifies the use of the Bit Flipping Key Exchange (BIKE) and Supersingular Isogeny Key Exchange (SIKE) schemes in combination with ECDHE as a hybrid key agreement in a TLS 1.2 handshake.
Sensitivity of Probabilistic Regional Seismic Loss to Hazard and Vulnerability Modelling Options

This paper investigates the sensitivity of probabilistic regional seismic loss assessment of reinforced concrete (RC) buildings to different ground motion intensity and vulnerability modelling options. To this aim, several variations of the loss assessment framework are tested to determine their effect in the resultant damage prediction, and the consequent loss estimation. Specifically, this study systematically assesses the sensitivity of losses to (1) ground motion intensity characterization (through selection of different types of intensity measures - IMs); and (2) assumptions in structural analysis (simplified nonlinear static-based procedures versus advanced nonlinear time-history analysis). A synthetic portfolio of RC structures located in Avellino, Southern Italy, is chosen as a case-study. A sitespecific hazard analysis is carried out, allowing the calculation of ground shaking footprints for different types of IMs, including conventional and advanced IM representations. Three regular 4-storey, 4-bay RC bare frame buildings, corresponding to three distinct vulnerability classes, compose the exposure database. Seismic fragility and vulnerability functions are derived for the considered building typologies, and finally, economic earthquake losses are estimated for all tested ground motion IMs and fragility derivation methods. Results from this study highlight that the choice of the analysis method type has a significant impact in the overall loss estimation, as the proposed (more advanced) procedure is capable of capturing the building response and corresponding damage states more accurately. The choice of the IM type is also of high importance within the loss estimation process, due to the ability of advanced IMs to capture more information than standard IM, e.g. in terms of spectral shape.
EXPLORATION OF THE SMARTPHONE AS AN INPUT DEVICE FOR MANIPULATING 3D SPACE

The emerging capabilities of smartphones are fuelling a rise in the use of mobile phones as input devices. The complexity of 3D object manipulation has become a challenge for traditional input. Sensors and interaction methods available in a modern smartphone may turn it into an interactive input device for manipulation of 3D objects. This study investigates the usability of a smartphone as an input device for 3D, and also explores its potential as an optimal input method for manipulating 3D space. As such, usability study requirements are formulated, and prototype 3D software with defined tasks developed, to aid in the usability studies. User satisfaction is investigated for each defined task, with the aim to explore optimal interaction methods for different approaches in manipulating 3D objects.
Multidimensional Analysis of Big Data

Data warehousing and multidimensional analysis go side by side. Data warehouses provide clean and partially normalized data for fast, consistent, and interactive multidimensional analysis. With the advancement in data generation and collection technologies, businesses and organizations are now generating big data (defined by 3Vs; i.e., volume, variety, and velocity). Since the big data is different from traditional data, it requires different set of tools and techniques for processing and analysis. This chapter discusses multidimensional analysis (also known as on-line analytical processing or OLAP) of big data by focusing particularly on data streams, characterized by huge volume and high velocity. OLAP requires to maintain a number of materialized views corresponding to user queries for interactive analysis. Precisely, this chapter discusses the issues in maintaining the materialized views for data streams, the use of special window for the maintenance of materialized views and the coupling issues of stream processing engine (SPE) with OLAP engine.
Bird song identification using artificial neural networks and statistical analysis

A system for automatically identifying six bird species by their songs was implemented. Pre-processing of sampled songs extracted temporal measurements of periods of sound and silence within songs. Power spectral densities were used to extract spectral information. Statistical methods were used to reduce data dimensionality and for identification tasks. An artificial neural network was also used for identification. Quadratic discriminant analysis achieved a 93%, and a backpropagation neural network 82% overall accuracy.
Application of the quick scan audit methodology in an industrial filter production process

Abstract The quick scan audit methodology (QSAM) is an established investigative tool to assess the health of business processes and supply chains within short schedules. This study extends the standard QSAM procedure to include the simulation step. It also extends the QSAM to a wider industry platform by applying it into the precision mechanical engineering industry, where managers have been under competitive pressure to reduce an industrial filter production lead time. Following a review of the relevant literature, this paper presents the research design adopted in the study. The QSAM has been conducted using various data collection techniques (such as observations, process activity mapping, interviews, questionnaires, brainstorming and access to company documents) and data analysis methods (including cause and effect analysis, Pareto analysis and time series plot). This is followed by the development of a set of improvement strategies, namely, direct information sharing, priority planning, and additional data recording and analysis. In addition to testing the potential benefits of changing scheduling approaches for the paint plant, simulation has been utilized in this study as a communication means to increase employee participation in the QSAM process and enhance the audit accuracy. It has also provided the case company with a better understanding of the behaviour and characteristics of the system under study, thus facilitating more thoughtful decisions to improve the system. The paper concludes with further research opportunities derived from this study.
ctmm: an r package for analyzing animal relocation data as a continuous‐time stochastic process

Movement ecology has developed rapidly over the past decade, driven by advances in tracking technology that have largely removed data limitations. Development of rigorous analytical tools has lagged behind empirical progress, and as a result, relocation data sets have been underutilized. Discrete‐time correlated random walk models (CRW) have long served as the foundation for analyzing relocation data. Unfortunately, CRWs confound the sampling and movement processes. CRW parameter estimates thus depend sensitively on the sampling schedule, which makes it difficult to draw sampling‐independent inferences about the underlying movement process. Furthermore, CRWs cannot accommodate the multiscale autocorrelations that typify modern, finely sampled relocation data sets. Recent developments in modelling movement as a continuous‐time stochastic process (CTSP) solve these problems, but the mathematical difficulty of using CTSPs has limited their adoption in ecology. To remove this roadblock, we introduce the ctmm package for the R statistical computing environment. ctmm implements all of the CTSPs currently in use in the ecological literature and couples them with powerful statistical methods for autocorrelated data adapted from geostatistics and signal processing, including variograms, periodograms and non‐Markovian maximum likelihood estimation. ctmm is built around a standard workflow that begins with visual diagnostics, proceeds to candidate model identification, and then to maximum likelihood fitting and AIC‐based model selection. Once an accurate CTSP for the data has been fitted and selected, analyses that require such a model, such as quantifying home range areas via autocorrelated kernel density estimation or estimating occurrence distributions via time‐series Kriging, can then be performed. We use a case study with African buffalo to demonstrate the capabilities of ctmm and highlight the steps of a typical CTSP movement analysis workflow.
IS PUBLIC-PRIVATE PARTNERSHIP AN OPTIMAL MODE OF PROVISION OF INFRASTRUCTURE?

The present paper considers a closed economy model with infrastructure service which is an excludable, impure public good, e.g. metro railway service, electricity service, and telephone service etc. The physical capital required by infrastructure sector is provided by public-private partnership. Public and private investment may be complementary or substitute to each other in infrastructure production. We assume government runs a balanced budget. We find there exists unique, saddle path stable growth rate in both the cases. We find that PPP model is optimal in the provision of infrastructure no matter public capital and private capital are a substitute or complementary to each other. But, PPP solution is not growth maximizing in case of substitute relationship between the public capital and private capital. It also makes a comparative study of decentralized economy and command economy. We find that in case of substitute relationship between private capital and public capital, command economy growth rate is higher than the competitive economy growth rate but in the case of complementary relationship between two, command economy growth rate may not be higher than the competitive economy growth rate.
A non-feature based method for automatic image registration relying on depth-dependent planar projective transformations

Multisensory data fusion oriented to image-based application improves the accuracy, quality and availability of the data, and consequently, the performance of robotic systems, by means of combining the information of a scene acquired from multiple and different sources into a unified representation of the 3D world scene, which is more enlightening and enriching for the subsequent image processing, improving either the reliability by using the redundant information, or the capability by taking advantage of complementary information. Image registration is one of the most relevant steps in image fusion techniques. This procedure aims the geometrical alignment of two or more images. Normally, this process relies on feature-matching techniques, which is a drawback for combining sensors that are not able to deliver common features. For instance, in the combination of ToF and RGB cameras, the robust feature-matching is not reliable. Typically, the fusion of these two sensors has been addressed from the computation of the cameras calibration parameters for coordinate transformation between them. As a result, a low resolution colour depth map is provided. For improving the resolution of these maps and reducing the loss of colour information, extrapolation techniques are adopted. A crucial issue for computing high quality and accurate dense maps is the presence of noise in the depth measurement from the ToF camera, which is normally reduced by means of sensor calibration and filtering techniques. However, the filtering methods, implemented for the data extrapolation and denoising, usually over-smooth the data, reducing consequently the accuracy of the registration procedure.
Personalizable Ontology-Based Access Control

Normal 0 21 false false false TR X-NONE X-NONE MicrosoftInternetExplorer4 Normal 0 21 false false false TR X-NONE X-NONE The main idea of Semantic Web is creating web pages which are also understood by machines and using ontologies to unify data. Improving a secure Semantic Web is one of the main works in Semantic Web research area. For this purpose, policies are used. Policy is a set of rules and provides an access control mechanism for a resource without making any change in that resource. Policy management in Semantic Web is used to define rules for accessing a resource and to provide users to interpret and comply with these rules. One of the key features to develop successful personalized Semantic Web applications is to build user profiles. In this paper, we developed an Ontology-Based Access Control (OBAC) model. This model represents domain and profile information semantically and has a profile based policy approach in order to achieve a personalized policy management for Semantic Web. We store personal information in profiles and model this information semantically to make it part of access control model. Thus, we created two kinds of policies: domain and profile based policies. We implemented an Ontology-Based Access Control application which creates, modifies, and deletes policy ontologies. Policy conflicts are also resolved to provide fine-grained policies in OBAC model. The main contributions of this work are: defining semantically rich resource and entity policies for an OntologyBased Access Control mechanism and making use of these policies in terms of the personalization scope. Key Words: Semantic Web, Ontology, Policy, Profile, Personalization, Conflict Resolution .
The Effect of Pledges on the Distribution of Lying Behavior: An Online Experiment

Abstract Reminding people to behave honestly or asking them to actively commit to honest behavior is an easily implementable intervention to reduce dishonesty. Earlier research has shown that such truth pledges affect lying behavior on a group level. In this study we are analyzing how a truth pledge changes the distribution of lying types which have been established in the literature, i.e. truth tellers, partial liars and extreme liars, to better understand whether truth pledges can affect the decision to lie or merely the extent of lies. For this purpose, we conduct a 2 × 2 experiment with 484 participants in which we apply a truth pledge in a gain and a loss frame. We introduce a novel “Even-Odd task” for online lying experiments, which is based on the well-established coin-toss design. The Even-Odd task takes into account that unbiased, physical randomization devices are not always available in online settings, which can be a problem for truth-tellers if they are bad mental randomizers. We therefore ask participants to think of privately known numbers (house numbers, phone numbers) and then determine randomly whether even or uneven numbers result in the higher payment. We find that the truth pledge significantly reduces lying but also that this effect is strongest for extreme liars. The uneven shift in the distribution of liars suggests that truth pledges are effective in decreasing the size of lies but not the number of lies told. This result is robust for both frames.
Aspartate transaminase to platelet ratio index (APRI) but not FIB-5 or FIB-4 is accurate in ruling out significant fibrosis in patients with non-alcoholic fatty liver disease (NAFLD) in an urban slum-dwelling population

Background and aims Non-invasive assessment of fibrosis in patients with non-alcoholic fatty liver disease (NAFLD) is challenging, especially in resource-limited settings. MR or transient elastography and many patented serum scores are costly and not widely available. There are limited data on accuracy of serum-based fibrosis scores in urban slum-dwelling population, which is a unique group due to its dietary habits and socioeconomic environment. We did this study to compare the accuracy of serum-based fibrosis scores to rule out significant fibrosis (SF) in this population. Methods Histological and clinical data of 100 consecutive urban slum-dwelling patients with NAFLD were analysed. Institutional ethics committee permission was taken. Aspartate transaminase (AST) to platelet ratio index (APRI), fibrosis-4 index (FIB-4) and FIB-5 scores were compared among those with non-significant fibrosis (METAVIR; F0 to F1; n=73) and SF (METAVIR; F2 to F4; n=27). Results AST (IU/mL) (68.3±45.2 vs 23.9±10.9; p<0.0001), alanine transaminase (IU/mL) (76.4±36.8 vs 27.9±11.4; p<0.0001), FIB-4 (2.40±2.13 vs 0.85±0.52; p<0.0001) and APRI (1.18±0.92 vs 0.25±0.16; p<0.0001) were higher and platelets (100 000/mm3) (1.8±0.8 vs 2.6±0.7; p<0.0001), albumin (g/dL) (3.4±0.50 vs 3.7±0.4; p<0.0001), alkaline phosphatase (IU/L) (60.9±10.2 vs 76.4±12.9; p<0.0001) and FIB-5 (−1.10±6.58 vs 3.79±4.25; p<0.0001) were lower in SF group. APRI had the best accuracy (area under the receiver operating characteristic curve=0.95) followed by FIB-4 (0.78) and FIB-5 (0.75) in ruling out SF. Conclusions APRI but not FIB-5 or FIB-4 is accurate in ruling out SF in patients with NAFLD in an urban slum-dwelling population.