Miracle-dz/UniFAR-FTUs huggingface dataset:
Fostering knowledge sharing behaviours through ethical leadership practice: the mediating roles of disclosure-based trust and reliance-based trust in leadership

Abstract This paper aims to clarify the influences of ethical leadership (EL) and specific aspects of trust in leadership on knowledge collecting and knowledge donating. Structural equation modelling (SEM) is applied to test the degree of influence of EL and employee trust on knowledge sharing (KS) behaviours using data collected from 355 participants at 56 Chinese firms. The results show that aspects of trust in leadership plays mediating roles in the relationship between EL and KS behaviours. EL has greater effects on knowledge donating, whereas aspects of trust in leadership have greater effects on knowledge collecting. The findings support theoretical initiatives on organisational behaviour and knowledge management based on the use of a moral lens to inspect the impact of EL on employee trust in leadership and KS behaviours. The paper provides a deeper understanding of the factors necessary to encourage and promote the sharing of knowledge and expertise by employees.
Scaling optical interconnects to meet the bandwidth density crunch

Many high performance computers (HPC) and cloud computing applications rely on distributing tasks among large numbers of virtual and real servers. This implies that advancements in performance of data centers and HPCs is increasingly dependent on connectivity. In order to insure high degree of connectivity at increasing bit rates and distances the demand for large bandwidth-distance product connections is increasing. These can almost exclusively be provided using optical interconnects. Traditionally optical-interconnect come in the form of pluggable transceivers. However the increases in number of connections and bit-rate poses a limit to further scaling (the front-plate bottleneck). A shift towards mid-board optics is in the making but requires solutions which are compact, power efficient and low cost for manufacturing. In this talk we will present our most recent demonstrations of high density optical interconnect solutions as well as high density switches. First some details about the design aspects and advantages of compact electronic switches employing mid-board optical engines will be discussed. Then, for addressing the challenge of low cost optical interconnects, we will give details on our recent work targeting high channel count VCSELs based sub-modules. Results based on 2.5D and 3D assembly on high resistivity silicon will be discussed as well as the use of direct die attach to flexible PCBs for making high density interconnects.
Framework and Challenges: H.265/HEVC Rate Control in Real-time Transmission over 5G Mobile Networks

The newly emerging video coding standard H.265/HEVC, jointly developed by ITU and ISO, is being adopted by an increasing number of applications and platforms such as YouTube, Netflix, video conferencing, live broadcasting, etc. Rate control has always been a main research area in live video streaming over wireless networks. While rate control has been extensively studied for previous video coding standards, such as H.263 and H.264/AVC, insufficient research has been done for H.265/HEVC. Also, due to the new features, tools, data structures, and algorithms introduced in H.265/HEVC to improve its coding efficiency, the algorithmic and computational complexities of its rate control schemes are greater than all its predecessors. The increasing complexities have hindered the adoption of H.265/HEVC in its real-time streaming over mobile wireless networks, such as 4G networks and the forthcoming 5G networks. In this research, the rate control algorithms/methodologies for H.265/HEVC and the corresponding mathematical modeling of each of its components will be investigated. Our goal is to develop low-complexity and highly-efficient rate control schemes for H.265/HEVC to improve its network adaptability and enable its applications to various mobile wireless streaming scenarios. In this paper, we also discuss a number of key research problems and challenges under this framework.
Generating story problems via controlled parameters in a web-based intelligent tutoring system

Purpose The purpose of this paper is to present an algorithm to generate story problems via controlled parameters in the domain of mathematics. The generation process is performed in the problem generation module in the context of an intelligent tutoring system suggested in this paper. Controlling the question parameters allows for adapting the generated questions according to the specific student needs. Story problems are selected since they are one of the most important types of problems in mathematics, as they help train students to apply their knowledge to real-world problems. Such problems target improving different student’s skills including literacy skills through reading the problem, recognizing the embedded mathematical information, and applying the required arithmetic operators. Design/methodology/approach Natural language generation (NLG) techniques are used to control the difficulty level of the generated story problem header in addition to effecting variations from the natural language point of view. The proposed NLG technique is based on different separated knowledge categories to provide flexibility in the generation process and allow porting the module to other contexts, domains, and to other natural languages without a complete redesign. Findings The approach has been empirically evaluated, and the results show that the generated problems are sound, clear, and naturally readable. This is in addition to the usability of the tutoring system itself. Research limitations/implications The generation technique is confined to the problem described using rhetorical schemas. Nevertheless, it can generate any problem provided that the rhetorical schema is available. Originality/value Most story problems generation systems limit the variation of the story problems to formulating the sentences that describe the story problem and the associated mathematical operations. In contrast, this paper presents a story problems generation technique that allows variations in the structure of the narrative story as well as the context, sentences, wordings, and mathematical operations. This variability allows assessing different student skills along different dimensions with gradually increasing difficulty levels.
I like coffee with cream and dog? Change in an implicit probabilistic representation captures meaning processing in the brain

The N400 component of the event-related brain potential has aroused much interest because it is thought to provide an online measure of meaning processing in the brain. Yet, the underlying process remains incompletely understood and actively debated. Here, we present a computationally explicit account of this process and the emerging representation of sentence meaning. We simulate N400 amplitudes as the change induced by an incoming stimulus in an implicit and probabilistic representation of meaning captured by the hidden unit activation pattern in a neural network model of sentence comprehension, and we propose that the process underlying the N400 also drives implicit learning in the network. The model provides a unified account of 16 distinct findings from the N400 literature and connects human language processing with successful deep learning approaches to language processing.
Aligning English Sentences with Abstract Meaning Representation Graphs using Inductive Logic Programming

In this thesis, I propose a new technique of Aligning English sentence words with its Semantic Representation using Inductive Logic Programming(ILP). My work focusses on Abstract Meaning Representation(AMR). AMR is a semantic formalism to English natural language. It encodes meaning of a sentence in a rooted graph. This representation has gained attention for its simplicity and expressive power. An AMR Aligner aligns words in a sentence to nodes(concepts) in its AMR graph. As AMR annotation has no explicit alignment with words in English sentence, automatic alignment becomes a requirement for training AMR parsers. The aligner in this work comprises of two components. First, rules are learnt using ILP that invoke AMR concepts from sentence-AMR graph pairs in the training data. Second, the learnt rules are then used to align English sentences with AMR graphs. The technique is evaluated on publicly available test dataset and the results are comparable with state-of-the-art aligner.
Hígia: um modelo para cuidado ubíquo de pessoas com depressão

Atualmente o mundo globalizado vem mudando a rotina das pessoas de um modo geral. Cada vez mais elas tem uma vida estressante, sofrendo inumeras pressoes e desenvolvendo angustias. Com isso, muitas delas acabam desenvolvendo transtornos mentais como, por exemplo, depressao. Nos dias de hoje ja existem varias pesquisas e aplicativos disponiveis para auxiliar pessoas que sofrem ou ja sofreram de depressao. O diferencial deste trabalho e identificar em acoes diarias e nas interacoes sociais do usuario, acoes semelhantes as de crises anteriores atraves dos diversos dispositivos que o mesmo utiliza. Atraves da coleta de informacoes de utilizacao de e-mails, redes sociais e da localizacao do usuario, a fim de identificar se o mesmo esta desenvolvendo novamente caracteristicas de seu proprio perfil depressivo. Ele realiza o monitoramento das interacoes dos usuarios que ja sofreram da doenca e identifica padroes semelhantes as crises anteriores. Sempre que um padrao de acoes for identificado algum familiar ou amigo indicado pelo usuario, aqui chamados de auxiliares, e o medico responsavel, caso haja, serao avisados, evitando assim a reincidencia de uma crise. Outro diferencial do trabalho e que as informacoes sao coletadas sem que ocorra intervencao do usuario. O usuario apenas aceita que haja o monitoramento e as interacoes sao coletadas e avaliadas. Dentre as pesquisas encontradas, a maioria realiza testes ou iteracoes nas quais o usuario pode abstrair alguns dados, como por exemplo, sintomas e fatos importantes para a deteccao de um sintoma relevante da doenca. Higia propoe a nao intervencao do usuario, pois desta forma, nao ha abstracao de informacoes. Alem disso, envolve dados de interacoes sociais que ainda nao foram muito exploradas em conjunto. Higia tem como objetivo constituir trilhas usuais para identificar possiveis sinais depressivos semelhantes aos vividos em momentos anteriores pelo usuario e avisar pessoas vinculadas o quanto antes, a fim de que providencias possam ser tomadas. Isso e feito atraves da avaliacao constante de caracteristicas do usuario em redes sociais, e-mails e interacoes com o smartphone, o computador ou outros dispositivos, alem de sua localizacao. Foi implementado um prototipo da solucao desenhada. Participaram da avaliacao sete pessoas que utilizaram o prototipo para que as trilhas fossem formadas. A utilizacao do prototipo se deu por um periodo de sete dias e gerou uma analise baseada no comportamento do prototipo, nas trilhas geradas e nas comparacoes realizadas. Tambem foram questionados profissionais da area da psicologia e sua opiniao sobre a utilidade das trilhas geradas para ajudar em diagnosticos futuros. Sobre os resultados com os usuarios os percentuais tiveram resultados bastante positivos. Os usuarios foram confiantes em relacao ao uso do Higia e entenderam a necessidade e as funcionalidades da aplicacao. Sobre os resultados do trabalho relatados pelos medicos e especialistas todos disseram que a aplicacao poderia trazer beneficios para o tratamento e para os pacientes.
Prediction of Manufacturing Data using several machine learning approaches

Author(s): Li, Luxi | Advisor(s): Wu, Ying Nian | Abstract: This thesis is to meet the needs of developing automation process on defective testing in thehard disk drives production process, focusing on machine learning and articial intelligence.The objective is to to predict the defectives and improve the accuracy rate by using the treebased algorithm and neural networks. The powerful models can help manufacturing processimproving time and labor efficiency.
Plausibilitätsbewertung von Laborversuchen zur Bestimmung von Scherkennwerten

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Projector calibration algorithm in omnidirectional structured light

This paper aims to study the projector calibration algorithm in omnidirectional structured light (OSL). The traditional projector calibration method can not directly be used in omnidirectional system, because the projector is perpendicular to the omnidirectional camera in our experiment. Therefor, we design a complete algorithm for the calibration of omnidirectional structured light. Firstly, a calibration plane is applied. And a checkerboard calibration board are placed on that and the checkerboard pattern projected from the projector onto that. Secondly, the equation of the calibration plane are computed based on the extrinsic parameters of the calibration board. Thirdly, the corners of the projected pattern are detected in the image captured by omnidirectional camera. Lastly, 3D projected points for each projected corner are obtained based on the ray-plane intersection. We designed a complete set of OSL calibration toolbox based on the proposed methods in Matlab. The proposed method and toolbox in Matlab have been shown to be accurate and easyto-use in projector calibration.
Decision making on family level in having treatment

The purpose of this study was to find out how decisions were made at the family level in order to seek treatment for family members, especially mothers during childbirth. The population in this study were community members who resided in Ngada, Southwest Sumba, North Central Timor and East Flores- Indonesia. The sample size was determined using a purposive technique, where each district was determined by two locations based on the distance factor (the farthest area and the nearest area) from the capital city of the district. Data were collected using in-depth interview techniques and Focused Group Discussions (FGD) to explore family-level decision-making processes regarding the use of health facilities. The results of this study indicate that decisions at the family level to use health facilities in areas far from the city center tend to still adhere to local traditions and local culture; and it should be based on relatives' advice; while the people who live close to the city center, the decision to use health facilities is generally in the hands of the mother and husband.
2A1-B01 Multiple Texture Button by Adding Haptic Vibration to the Physical Button

This paper describes development of Multiple Texture Button, which presents a variety of click feelings by providing decaying sinusoidal vibration at the moment of press. The button consists of a spring to provide kinesthetic sensation and a vibrator to provide vibrotactile sensation. To estimate the potential of the button, we implemented a video game application (shooting game), where a gun fires a bullet with various speed when the button is pressed. Modulating decaying sinusoid vibration enabled the button to present various clicking feeling matched with the context of the game (i.e. bullets’ speed).
Cell Breathing Algorithm Based on Energy Efficiency in the High Density Heterogeneous Cellular Network

The 5G network has become one of the hottest research focuses. In this network, it is a consensus reached that the user terminals are high density and the cover of the base stations are multi-tier. The unbalance and variability of the spatial distribution and time of user services make the low utilization ratio of the network resources. A cell breathing algorithm based on energy efficiency is proposed in this paper which combines energy control, base station sleeping and cell zooming. The simulation shows that this algorithm makes the network performance better in energy efficiency and can balance the load of the base stations.
MATHEMATICS BARRIERS EXPERIENCED BY GRADE 3 CHILDREN IN SOME PREVIOUSLY DISADVANTAGED OF SCHOOL SOUTH AFRICA

Children as early as Foundation Phase are unable to solve mathematical problems. The problem of poor Foundation Phase learner performance in mathematics is of international concern. One of the critical concerns noted by Annual National Assessment (ANA) is the concern about the understanding of teaching mathematics content in Foundation Phase. The aim of the paper is to examine the barriers experienced by Grade 3 children in mathematics computation in previously disadvantaged schools in South Africa. The study employed a qualitative study approach-using semi – structured interviews with three teachers in three schools. All the teachers consented to participate. The main findings of this study suggest that all the barriers to learning relate to poor mathematical language proficiency. Therefore, based on the findings, the methods of teaching mathematics should change, by including for example concrete objects. Furthermore, the training of mathematics teaching should be adapted so that it should be in line with the practical teaching in class.
Novel Approaches to Improve Software Quality

Software is known as the soul of computer. Software quality is the basic factor for determining the capability and working of a software. Assuring the quality of software is known as software quality assurance. This paper comprises of different methods and techniques to improve the software quality like bug tracking system, security code review and exception handling etc. We discuss that how these methods and techniques work and play a vital role in improving software quality. We tried to describe the different vulnerability issues found for the quality of software. The article is the review of different software quality assurance improvement methods and also how we can enhance the capability of these methods by ourselves. Software industry is growing day by day and with the development of software there is also need of improving the functionality of applications. And for this reason, different techniques have been considered in this article.
“I learn for a job promotion!”: the role of outcome-focused career goals in motivating distance learners to learn

ABSTRACT Outcome-focused career goals are concerned about studying for tangible career benefits. To what extent do these goals motivate distance learners to learn? Using a mixed-method design, Study 1 found that career-focused learners, when compared with noncareer-focused counterparts, had a propensity to endorse outcome-focused career goals, use surface strategies, value their learning, and achieve better course results. Interview findings showed that career-focused learners used a strategic approach to ensure the timely completion of tasks and examination preparation. Study 2 located two groups of career-focused learners (autonomous and controlled) who endorsed outcome-focused career goals, alongside a noncareer-focused group. MANOVA analyses found that autonomous and noncareer-focused learners had engaged learning patterns. Although controlled learners were less engaged in learning, they achieved better results. It was concluded that outcome-focused career goals are significant sources of motivation for distance learners, despite being extrinsic to learning.
Developing Strategies for Success in a Cross-Disciplinary Global Virtual Team Project: Collaboration Among Student Writers and Translators

This article reports on a qualitative study of strategies and competencies used by technical communication and translation students to address challenges inherent in global virtual team collaboration. The study involved students from three universities collaborating in virtual teams to write and translate instructional documents. Qualitative content analysis of students’ reflective blogs and team transcripts was used to examine their experiences while collaborating. Students faced challenges related to communication, leadership, and technology, and developed various strategies to address those challenges. Although the students did not face cultural challenges, they reported increased awareness of cultural issues. Students also reported that the project helped them better understand the workplace and define career goals.
The Analysis of the Possibility of Using Viola-Jones Algorithm to Recognise Hand Gestures in Human-Machine Interaction

Abstract The article concerns the issue of applying computer-aided systems of the maintenance of technical objects in difficult conditions. Difficult conditions shall be understood as these in which the maintenance takes place in a specific location making it hard or even preventing from using a computer. In these cases computers integrated with workwear should be used, the so-called wearable computers, with which the communication is possible by using hand gestures. The results of the analysis of the usefulness of one of methods of image recognition based on Viola-Jones algorithm were described. This algorithm enables to obtain the model of recognised image which might be used as a pattern in the application programme detecting a certain image.
Étude d'une Boîte à Outils Multi-Dispositifs

Les boites a outils graphiques actuelles ne gerent qu'un clavier, une souris et un nombre limite de techniques d'interaction. La proliferation de nouveaux dispositifs, en particulier pour les jeux, la CAO, le dessin et l'acces aux handicapes n'est donc pas prise en compte. Cet article presente une etude des difficultes a gerer les modes d'interaction etendus au niveau des boites a outils, ainsi qu'une architecture de widget decouplant la gestion des evenements de la presentation. Cette architecture est reminiscente du modele MVC de Smalltalk : elle redonne son existence a la composante controle qui avait disparue des boites a outils. Cependant, notre version definit une interface generique de communication avec la partie vue du widget. Plusieurs controleurs peuvent fonctionner en parallele dans le meme widget, autorisant l'interaction pa- rallele tout en evitant les conflits a un niveau de granularite correspondant aux zones visuelles gerees par le widget. Nous montrons une implementation partielle de l'architecture dans Java Swing et decrivons quelques controleurs specifiques que nous avons implementes : un pointeur controle par le clavier et un autre par la voix. Ces pointeurs coexistent et fonctionnent parallelement sans que l'interface utilisateur ne soit modifiee.