Miracle-dz/UniFAR-FTUs huggingface dataset:
Capacity Improvement and Protection of LTE Network on Ethernet Based Technique

High demands for data rates in mobile communications is the reason for developing broadband wireless access technologies. Long Term Evolution (4G LTE) networks which offer significantly higher data rates and require suitably higher capacity backhaul networks. To prepare for the high data rates usage in 4G LTE, operators are using ethernet services in terms of backhaul connectivity. Protection packet switching developed to anticipated network failure on ethernet based network technology. The failures in the network include the link fails to connect to each network element, the network element fails to transfer the data to the destination, or the quality drops below the standard. In this paper we used two ethernet based technique, namely Ethernet over SDH and MPLS-TP with ring protection to anticipated network failure on these techniques. Furthermore, we measured performance of network by measuring and comparing the throughput, latency and jitter between Ethernet over SDH and MPLS-TP. We used bandwidth capacity 240 Mbps as plant bandwidth link and worked in MIMO 2 2. The results of measurements indicated that MPLS-TP with ring protection is the best technique to enhanced the performance of LTE network.
Discourse of Otherness in a Universally Designed undergraduate mathematics course

To meet the needs of student diversity, universities have often implemented the principles of Universal Design in their instruction. However, previous literature knows little about the effectivity of these practices. In this study, two students with special needs are given a voice to share their experiences about a Universally Designed undergraduate mathematics course. The study uses the view of a Foucauldian discourse analysis in order to investigate how these students construct discourses on their position in the context of the course. According to the results, the students positioned themselves as the Others, constructing a discourse of “different learners”. The study implicates that there is a need to shift the existing discourses to open up alternative subjectivities.
Décodage robuste de vidéos H.264 AVC vs SVC : réduction de l'overhead et comparaison de performance

Lors de travaux précédents [1], nous avons proposé des méthodes de décodage robuste de flux vidéo encodés suivant la norme H264 AVC, qui amélioraient très nettement la qualité des vidéos reçues. Cette amélioration basée sur des algorithmes de décodage séquentiels vérifiant la syntaxe du flux binaire était obtenue au prix de l’insertion d’informations supplémentaires (la longueur des séquences CAVLC) dans le flux émis, qui augmentaient d’environ 30% la taille du flux transmis. Dans cet article, nous appliquons tout d’abord la même stratégie aux flux vidéo encodés suivant la norme SVC, qui permet d’obtenir des flux scalables, et réduisons cet inconvénient. Après application aux flux SVC de la méthode [1], nous expliquons comment réduire la taille des informations supplémentaires, qui peut alors tomber à environ 10% du flux total pour des performances encore excellentes. Enfin, nous démontrons la supériorité des flux encodés SVC par rapport aux flux AVC en présence de décodage robuste, et pour des tailles de séquences codées comparables.
The Mirror between Two Worlds: 3D Surface Computing for Objects and Environments

The information society manufactures, manipulates, and commodifies information. Heritage is one such area that is undergoing digital transformation. Heritage is increasingly being transmuted through digitisation devices such as laser and structured light scans into multiple representations of information. The rich information of a heritage object or an environment can be restructured, transmitted, and recomposed into a mediated form both textual and non-textual. Once digitised, it becomes free from its physical predecessor; it enters another world that defies the physical laws of nature where the imagination of the maker is a limit. Such worlds accompanied by their objects are accessible in new yet intuitive ways via surface computers. The horizontal nature of the multitouch-multiuser surface computer then becomes the mirror that links both worlds, allowing access into a virtual space via the touch-table computing paradigm. This chapter explores 3D surface computing, its technology, capabilities, and limits with developments of two multitouch applications incorporating heritage objects and environments, and the observation of the reactions of initial users. It addresses new issues and challenges surrounding the use of surface computing and how the access and transmission of heritage information via multitouchmultiuser tables are able to contribute to the accessibility, teaching, and learning of heritage. DOI: 10.4018/978-1-4666-2961-5.ch013
The Legal Protection of Minority Shareholders Under Ethiopian Law: Comparative Analysis

Business organizations are important to operate business activities that demand the involvement of many persons. In these days, therefore, business organizations are getting momentum in every sector of the economy. Business can be run in different forms of business organizations, one of which is a company. This article is to show the deficiencies of legal protection of minority shareholders under Ethiopian company law compared with the England and German company laws. Since Ethiopia commercial law is under the process of revision, this article will have a paramount importance and can be used as input for amendment of commercial code of Ethiopia. Thus, we tried to analyze specifically, the legal protection of Ethiopian law offers for minority shareholders by comparative perspective. It includes the rights of minority shareholders; the substantive protection of minority shareholders such as the right to call general shareholders meeting, right to propose resolution, right to challenge decision of the company, right to appointment of independent audit, right to access information and voting rights. The article finally ends up with some concluding remarks and the deficiencies of Ethiopian minority shareholders protection, if any, and lessons to be learned from UK and Germany laws would be reflected as recommendation to the Ethiopian commercial code. Keywords : Minority share holders, Protection of Minority share holders, Company law. DOI : 10.7176/JLPG/86-03 Publication date :June 30 th 2019
A Comparative Assessment of User Interfaces for Choreography Design

Choreography design is a vital creative art that benefits vastly from digital applications. In this study, we investigate the effects of different interaction techniques on user experience for a choreography generator interface. We develop an augmented reality choreography generator and compare it with 1) a personal computer based choreography generator and 2) a mobile application for choreography generation. We evaluate user performance and user experience on the interfaces in terms of task completion times, as well as subjective criteria, such as mental stress, physical stress, and pleasure experienced. Our research contributes to the study of how different interaction methods of the same application affect user experience. The paper also contributes to humancomputer interaction in education and training. The results verify the effectiveness of augmented reality in developing training and design applications. Keywords–choreography; augmented reality; user experience; natural user interfaces.
Customer Lifetime Value For Credit Limit Optimization

Customer lifetime value is an important metric for banks to optimize a credit limit, improve retention and set competitive pricing. The specifics of credit cards market provide challenges with undetermined usage time and positive correlation between the risk and revenue. To address these challenges, we present a customer lifetime value framework in conjunction with riskadjusted- return for revolving products and credit limit increase and decrease strategy taking into account CLV metrics.
An Exploration Of Unmanned Aerial Vehicle Direct Manipulation Through 3d Spatial Interaction

We present an exploration that surveys the strengths and weaknesses of various 3D spatial interaction techniques, in the context of directly manipulating an Unmanned Aerial Vehicle (UAV). Particularly, a study of touchand devicefree interfaces in this domain is provided. 3D spatial interaction can be achieved using hand-held motion control devices such as the Nintendo Wiimote, but computer vision systems offer a different and perhaps more natural method. In general, 3D user interfaces (3DUI) enable a user to interact with a system on a more robust and potentially more meaningful scale. We discuss the design and development of various 3D interaction techniques using commercially available computer vision systems, and provide an exploration of the effects that these techniques have on an overall user experience in the UAV domain. Specific qualities of the user experience are targeted, including the perceived intuition, ease of use, comfort, and others. We present a complete user study for upper-body gestures, and preliminary reactions towards 3DUI using hand-and-finger gestures are also discussed. The results provide evidence that supports the use of 3DUI in this domain, as well as the use of certain styles of techniques over others.
Active fund managers and earnings management at portfolio companies

Purpose This paper aims to examine the association between the types of mutual funds, i.e. active versus passive, and the level of earnings manipulation in companies that comprise their stock portfolios. Design/methodology/approach The authors use Cremers and Petajisto’s (2009) classification of mutual funds by active share and tracking error volatility to differentiate between active and passive mutual funds. To assess the extent of earnings quality at portfolio companies, the authors measure accruals earnings management and real earnings management. Findings The authors find that the portfolio firms held by active fund managers exhibit lower levels of earnings manipulation. The inverse relationship between earnings management and fund holdings is more pronounced at higher levels of active share selection among concentrated active fund managers. Practical implications The degree to which earnings management influences mutual funds’ investment behavior has significant implications for the stability of the US stock market. Based on the findings that earnings management at portfolio companies serves as a potential instrument to guide funds’ investment decisions, future research would examine how these investment preferences exert price pressure (if any) on the stock of the portfolio companies. It would also help to ascertain whether the investment preferences of fund managers with respect to earnings management help to render the stock market more or less efficient. Originality/value This paper contributes to the understanding of how actively managed funds perform stock selection. Earnings manipulation leads to negative earnings quality that would inhibit stock performance over time. Active fund managers, who dynamically manage their exposures to systematic and stock-specific risks (in their attempt to outperform their benchmark index), target firms that manage earnings less to form part of their investment portfolios.
Les hausses des prix de l’immobilier bénéficient elles à l’investissement productif de toutes les entreprises ?

Une hausse des prix de l’immobilier accroît la valeur de marché des actifs collatéralisables et diminue simultanément le rendement de l’investissement du fait de l’accroissement du coût d’un facteur de production. Ces deux canaux exercent des effets opposés sur l’investissement productif. En mobilisant une large base de données d’entreprises françaises, ce Rue de la Banque montre que les prix ont des effets hétérogènes sur l’investissement productif des entreprises selon leur niveau de détention d’actifs immobiliers. Les entreprises plus âgées et moins productives sont celles qui tirent le plus grand bénéfice des hausses des prix de l’immobilier. Cette lettre présente le résultat de travaux de recherche menés à la Banque de France. Les idées exposées dans ce document reflètent l’opinion personnelle de leurs auteurs et n’expriment pas nécessairement la position de la Banque de France. Les éventuelles erreurs ou omissions sont de la responsabilité des auteurs. Les hausses des prix de l’immobilier bénéficient-elles à l’investissement productif de toutes les entreprises ?
Developing Ethical Accounting Students through Incorporating Islamic Ethics into Accounting Curriculum: The Educator’s Perspectives

The aim of this study is to examine the significant of Islamic ethics in the development of ethical accounting graduates through accounting educator’s perspectives. This paper used a survey questionnaire to collect data from accounting educators from eight public universities in Malaysia. Survey items were developed based on Islamic ethics instrument adapted from AAOIFI Code of Ethics for Accountants and Auditors (1998), and Accounting Ethical Development model (Fisher et al., 2005). The findings provide evidence that accounting educators have similar consensus that Islamic ethics principles were acceptable and important to be incorporate in accounting curriculum in order to generate ethical future accountants. Further, respondent encourage accounting educators to integrate Islamic ethics in their teaching and learning process. Overall, the findings of the study are expected to provide a guideline for the university administrator to enhance the improvement of accounting curriculum.
Automatic Test Case Generation for Structural Testing Using Negative Selection Algorithm

Software testing is an essential part of software development as it consumes a one half of the software development cost. The most critical step of software testing is generation of the test cases. Many approaches have been developed by researchers to automate it. Negative Selection Algorithm NSA has been used to generate test cases automatically to satisfy path coverage of software. The proposed algorithm has been applied to the most widely used benchmarking program which is triangle classifier, and the experimental results show the test cases are efficient in time of execution and effective in generation of test cases. The results are compared with random testing to assess the efficiency and the effectiveness of the proposed algorithm.
Regression-Based Modelling of a Fleet of Gas Turbine Engines for Performance Trending

Module performance analysis is a well-established framework to assess changes in the health condition of the components of the engine gas-path. The primary material of the technique is the so-called vector of residuals, which are built as the difference between actual measurement taken in the gas-path and values predicted by means of an engine model. Obviously, the quality of the assessment of the engine condition depends strongly on the accuracy of the engine model.The present paper proposes a new approach for data-driven modelling of a fleet of engines of a given type. Such black-box models can be designed by operators such as airlines and third-party companies. The fleet-wide modelling process is formulated as a regression problem that provides a dedicated model for each engine in the fleet, while recognising that all engines are of the same type. The methodology is applied to a virtual fleet of engines generated within the ProDiMES environment. The set of models is assessed quantitatively through the coefficient of determination and is further used to perform anomaly detection.Copyright © 2015 by ASME
OSN FILTERING WALL USING HUMAN SENSE

With the large amount of growth in the data and use of social networking sites users share free text, image, audio and video data daily. Today’s OSNs not provide much support to the users to avoid unwanted messages displayed on their wall. In system, if unwanted words are found, system directly blocks the message. But the problem is important articles which include unwanted message but having positive or good topics, gets blocked. So, to overcome the above problem, we proposed a system in which data will be divided into three categories: Normal, Low and High risk. Then filtering rules (FRs) are applied to block corresponding data using human intervention.
A Review of Employees’ Job Satisfaction and its Affect on their Retention

Learning about factors that influence staff retention and ways of improving it, can help organizations avoid the inconvenience of high attrition. The employee’s job satisfaction and retention are the main factors for the success and survival of any firm. No one can measure the level of satisfaction an individual get why he performs his work. But there are factors which directly or indirectly affect the satisfaction level of employees at workplace. Companies that constitute work environment that attract, motivate, and retain talented employees will be better positioned to succeed in today’s competitive business world that demands quality and cost-efficiency. The main challenges that organizations are facing today is not only managing its human resources but also satisfying and retaining them. Securing and retaining skilled workforce plays an important role for any organization, because the knowledge and skills of employees have become highly essential in gaining competitive advantage in today’s business environment. Thus, the objective of this paper was to: examine the factors which affect the job satisfaction of employees. Determine the affect of job satisfaction on employees’ retention and suggest recommendations on possible ways to improve employees’ retention. Also, the essential of having a retention strategy, which is based on a well enunciated human resource management system, was emphasized.
A Network-Based Approach for Emerging Rural Social Entrepreneurship

Rural social entrepreneurship (RSE) is one of the foundations of rural socio-economic development. However, RSEs have only recently been defined and few major research studies have been conducted. This paper reviewed current research on RSE employs the theoretical constructs of network approach and uses them to the study of RSE. These constructs as RSEs’ function, relating to the structure of networks, social innovation, social learning and social value creation, are found by researchers to have importance in affecting strategy and measuring performance for social enterprise networks in rural areas. At the end, we come up with implications of how using network approach can strengthen the RSEs to develop competitive opportunities for rural areas by RSEs.
Latent-Class-Based Item Selection for Computerized Adaptive Progress Tests

Standard computerized adaptive testing (CAT) methods require an underlying item response theory (IRT) model. An item bank can be constructed from the IRT model, and subsequent items can be selected with maximum information at the examinee’s estimated ability level. IRT models, however, do not always fit test data exactly. In such situations, it is not possible to employ standard CAT methods without violating assumptions. To extend the scope of adaptive testing, this research shows how latent class analysis (LCA) can be used in item bank construction. In addition, the research investigates suitable item selection algorithms using Kullback-Leibler (KL) information for item banks based on LCA. The KL information values can be used to select items and to construct an adaptive test. Simulations show that item selection based on KL information outperformed random selection of items in progress testing. The effectiveness of the selection algorithm is evaluated, and a possible scoring for the new adaptive item selection with two classes is proposed. The applicability of the methods is illustrated by constructing a computerized adaptive progress test (CAPT) on an example data set drawn from the Dutch Medical Progress Test.
Computational Methods for Discovering and Analyzing Causal Relationships in Health Data

Publicly available datasets in health science are often large and observational, in contrast to experimental datasets where a small number of data are collected in controlled experiments. Variables' causal relationships in the observational dataset are yet to be determined. However, there is a significant interest in health science to discover and analyze causal relationships from health data since identified causal relationships will greatly facilitate medical professionals to prevent diseases or to mitigate the negative effects of the disease. Recent advances in Computer Science, particularly in Bayesian networks, has initiated a renewed interest for causality research. Causal relationships can be possibly discovered through learning the network structures from data. However, the number of candidate graphs grows in a more than exponential rate with the increase of variables. Exact learning for obtaining the optimal structure is thus computationally infeasible in practice. As a result, heuristic approaches are imperative to alleviate the difficulty of computations. This research provides effective and efficient learning tools for local causal discoveries and novel methods of learning causal structures with a combination of background knowledge. Specifically in the direction of constraint based structural learning, polynomial-time algorithms for constructing causal structures are designed with first-order conditional independence. Algorithms of efficiently discovering non-causal factors are developed and proved. In addition, when the background knowledge is partially known, methods of graph decomposition are provided so as to reduce the number of conditioned variables. Experiments on both synthetic data and real epidemiological data indicate the provided methods are applicable to large-scale datasets and scalable for causal analysis in health data. Followed by the research methods and experiments, this dissertation gives thoughtful discussions on the reliability of causal discoveries computational health science research, complexity, and implications in health science research.
The MUMIN multimodal coding scheme

The MUMIN multimodal coding scheme was originally created to experiment with annotation of multimodal communication in short clips from movies and in video clips of interviews taken from Swedish, Finnish and Danish television broadcasting. However, the coding scheme also intends to be a general instrument for the study of gestures and facial displays in interpersonal communication, in particular the role played by multimodal expressions for feedback, turn management and sequencing. The first coding experiment was carried out at a workshop at KTH, Stockholm, on 21-22 June 2004. The version V3.4 of the coding scheme, presented in this paper, is the result of comments and discussions during and after the workshop.