Miracle-dz/UniFAR-FTUs huggingface dataset:
MAKE LEARNING MORE INTERESTING BY USING VIRTUAL REALITY

The process of learning accompany a man from a very young age. It is rather very difficult process. Many ways and techniques have been invited to facilitate the assimilation of knowledge. Traditional methods of knowledge transfer include books, lectures, instructional videos, etc. New ways of presenting and accessing knowledge have appeared at the present time. You should mention tutorials and internet courses. Due to the development of the Internet it is much easier and faster to find interesting topics. With the development of science people must learn and master more and more complicated rules and principles. Is there an easy and enjoyable way to learn? It isn’t easy but we learn more gladly when learning is interesting or presented in an interesting way. Using even simple animations you can "explain" even a very complicated rule in a few moments. Using Virtual Reality (VR) you can not only interest students, but also present and simulate various processes and phenomena. The article shows several conceptual 3D models that can be used in classes: biology, anatomy, medicine, mechanics, archaeology [12] or cybernetics. They are interesting, inertia-driven aids that faithfully reflect their real counterparts. They were developed for zSpace technology, which enables interactive immersion and 3D visualisation. Based on Virtual Reality (VR) and a natural human-computer interface, i.e. the STYLUS manipulator, students have the ability to "touch" and simulate the activities of interesting devices. The article is summed up by the results of students’ feedback to the pilot project.
Vehicle and pedestrian detection and tracking

A fully automatic vision-based technique to extract traffic data from scenes of roadway is proposed. This involves the application of a scene analysis technique to find, identify and determine the coordinates of moving vehicles and pedestrians in each frame. The coordinates/time data are translated into a number of traffic flow parameters. A number of detection and tracking algorithms are implemented in the OCCAM language to run on a transputer-image processing system. The application of the MAT-transform as an aid for vehicle classification is investigated. The initial results are discussed. >
Radio Frequency and Analog/Mixed-Signal (RF and AMS) Technologies for Wireless Communications | NIST

The demands to bring new and advanced features in various wireless and mobile communication products continue to drive the revenue growth of semiconductor ICs used for wireless and mobile communications [1-4]. The RF and AMS devices in these products depend on many materials systems, some of which are compatible with complementary metal oxide semiconductor (CMOS) processing, such as SiGe and others of which are not compatible with CMOS processing such as those compound semiconductors composed of elements from group III and V in the periodic table. As shown in Figure 1, wireless and mobile communications cover a very wide spectrum of applications including radio and TV broadcasting, cellular phones (GSM, GPRS, EDGE, CDMA, 3GPP), wireless cables and wireless local area networks (Bluetooth, Wi-Fi, ZigBee), broadband wireless access (UWB, WiMAX), global position system (GPS), phased array RF systems, RFID and smart handheld devices. The impact of wireless and mobile communications on our daily lives has been significant as they empower us to communicate voice, data, image and video to anywhere at anytime. In future years, it is expected that the frequency axis in Figure 2 will lose its significance in defining the boundaries among technologies for some of the applications listed therein.
Non-Source Code Refactoring: A Systematic Literature Review

Since software refactoring techniques were introduced, the process is commonly applied to alter the structure of source code. However, there is also increasing popularity in the topic of refactoring in other software artifacts at non-source code level. This paper provides a systematic literature review of existing studies in non-source code refactoring. We use two digital libraries as publication source, IEEExplore and Science Direct, to obtain published articles in non-source code refactoring topic published in between 2002 – 2014 with certain keywords. The 20 selected literatures then processed based on certain criteria, including the refactoring method and refactoring identification source. Then we use this information to provide categorization of non-source code refactoring activity and the advantages and disadvantages of each category. The systematic literature review performed has provided categorization of non-source code refactoring method and has shown that each method has certain advantages and disadvantages. Refactoring detection at non-source code level can be done in the software design model, source code with nonconventional detection, and other software artifacts. The methods used can be categorized as heuristic method, where the refactoring identification is done based on certain rules, and non-heuristic method, where the refactoring identification is done with a certain algoritm that explores every possibility of refactoring opportunities. The advantage of heuristic method is the speed and precision. The disadvantage of this method is the needed effort to produce the rules and the possibility of the non optimal result. The advantage of non-heuristic method is it can yield a generally more optimal result. The disadvantage of non-heuristic method is that the result depends strongly on the robustness of each algorithm.
Zhou qiaoli: A divide-and-conquer strategy for semantic dependency parsing

We describe our SemEval2012 shared Task 5 system in this paper. The system includes three cascaded components: the tagging semantic role phrase, the identification of semantic role phrase, phrase and frame semantic dependency parsing. In this paper, semantic role phrase is tagged automatically based on rules, and takes Conditional Random Fields (CRFs) as the statistical identification model of semantic role phrase. A projective graphbased parser is used as our semantic dependency parser. Finally, we gain Labeled Attachment Score (LAS) of 61.84%, which ranked the first position. At present, we gain the LAS of 62.08%, which is 0.24% higher than that ranked the first position in the task 5.
A New Osrad Filter for Despeckling of Medical Ultrasound Images

Speckle noise is an inherent nature of ultrasound images, which results in poor image interpretation and diagnosis. Oriented speckle reducing Anisotropic diffusion filter improves the speckle reduction and edge preservation in these images. In regions of weak edges, the diffusion coefficient is less sensitive. An ideal diffusion coefficient should act so as to diffuse homogeneous regions and sensitive to the edge region which could be well realized by a sigmoid function. In this paper, we propose a new OSRAD filter based on sigmoid function. The diffusion coefficient is chosen to be uniform in the homogeneous region, and decreases rapidly in the transition region which improves weak edges and details. The sigmoid function based OSRAD performs directional filtering of the image along the structures which reduces the blocking effect of diffusion coefficient and enhances the speckle suppressing ability. The proposed filter gives better performance in edge preservation and speckle noise reduction in comparison to the existing diffusion filters.
État de l'Art: Mesures de Similarité Sémantique et Algorithmes Globaux pour la Désambigu\"ısation Lexicale a Base de Connaissances

State of the art : Local Semantic Similarity Measures and Global Algorithmes for Knowledge-based Word Sense Disambiguation We present the main methods for unsupervised knowledge-based word sense disambiguation. On the one hand, at the local level, we present semantic similarity measures, which attempt to quantify the semantic proximity between two word senses. On the other hand, at the global level, we present algorithms which use local semantic similarity measures to assign the appropriate senses to words depending on their context, at the scale of a text or of a corpus. MOTS-CLES : desambiguisation lexicale non-supervisee, mesures de similarite semantique a base de connaissances, algorithmes globaux de propagation de mesures locales.
Making sense of data streams: Complex Event Processing for Controls Applications

This project aims at building a tool to process live streams of data produced by various sensors and artificial generators. To this end, a Java code is written, which uses Esper Complex Event Processing package to: receive data feeds, apply user defined rules and filters, and pass the resulting information to a clustering framework. The last step employs Affinity Propagation based clustering algorithm, which choice is motivated by its dynamic adaptation to number of clusters in the data. This is key feature in data streaming scenario as the number of clusters can evolve with time. Furthermore, [Zhang et al., 2013] have documented overall good performance of Affinity Propagation in cases of live data analysis. Finally, presented here approach is compared and contrasted against static clustering algorithms applied to data gathered from streams incoming over one run of the program, followed by in-depth results analysis.
New Trends in Interuniversity Cooperation at Global Level

The author, Director of the Division of Higher Education, of UNESCO, had prepared a text in English on «NEW Issues in Interuniversity Cooperation, which was transmitted to the organizers of the 11th General Conference of the Programme on Institutional Management in Higher Education of OECD (Paris, 2nd September 1992). However, after listening the introductory speeches at the Conference, he decided to present, in French, an improvised introduction. This text presents the translation from French into English of the Introduction and the original of the rest of the text as previously prepared (II to VIII).
An Approach for Verifying Concurrent C Programs

As software system and its complexity are fast growing, software correctness becomes more and more a crucial issue. We address the problem of verifying functional properties of real-time operating system (microkernel) implemented with C. We present a work-in-progress approach for formally specifying and verifying concurrent C programs directly based on the semantics of C. The basis of this approach is to automatically translate a C code into a TLA+ specification which can be checked by the TLC model checker. We define a set of translation rules and implement it in a tool (C2TLA+) that automatically translates C code into a TLA+ specification. Generated specifications can be integrated with manually written specifications that provide primitives that cannot be expressed in C, or that provide abstract versions of the generated specifications to address the state-explosion problem.
The Analysis of Shift Alternative Repeated Unequally Spaced Channels Allocation for DWDM System

Abstract—This paper proposes the new method to improve the conventional techniques in the channel allocations in order to reduce transmission loss in the case that a large number of channels are in close proximity to each other. This phenomenon, called Four-Wave Mixing (FWM), can be observed in the case of Dense Wavelength Division Multiplexing (DWDM) which is the cause of transmission loss due to the nonlinear characteristic of the fiber. The channel allocations that can be utilized to resolve this problem are Equally Spaced (ES), Equally Repeated Unequally Spaced (ERUS) and Base-unit Repeated Unequally Spaced (BRUS). This paper presents the new technique of the channel allocation called ―Shift alternative repeated unequally spaced (SARUS)‖ to avoid the Four-Wave Mixing. From the simulation results, the new proposed technique can decrease an average FWM efficiency from -28.19dBm to -32.07dBm and reduce BER from -19.7dBm to -25.1dBm. Furthermore, the number of channels has been increased to 43 channels in DWDM transmission system (C–band). These results indicate that SARUS has a lower FWM efficiency than BRUS and other above mentioned techniques.
Internet Use, Online Communication, and Ties in Americans’ Networks

Drawing on nationally representative survey data, this article examines the implications of Internet use and online communication for strong and weak ties in Americans’ social networks. In line with the existing literature, this research shows that frequent Internet use and online communication are associated with a larger core discussion network and a more extensive position-generated network. More importantly, this research provides a finer tuned analysis by disaggregating the overall network into strong and weak ties. First, Internet use—but not online communication—is positively related to weak-tie based network extensity in the position-generated networks. Second, Internet use and online communication are positively related to the number and the proportion of strong ties in Americans' core discussion networks. These results help reconcile some of the conflicting findings and interpretations based on different network measures in the exiting literature.
The Study and Analysis of Effective Parameters on Camera Pose Estimation Process for Virtual Studio

This paper study and analyzes of effective parameters on camera pose estimation process for virtual studio. The camera pose estimation process, the process of estimating camera extrinsic parameters, is based on closedform geometrical approaches which is used the benefic of simple corners detection of 3D cubic-like virtual studio’s landmarks. Our studies include all landmarks characteristic parameters like landmark’s lengths, landmark’s corners angles and its installation position errors; and some camera parameters like lens’ focal length and CCD resolution. We study and analyze all these parameters efficiency on camera extrinsic parameters including camera rotation and position matrixes through computer simulation. We found that the camera transaction matrix is infected more than other camera extrinsic parameters by the noise of effective pose estimation parameters.
On the application of uplink optimum combining to base station reception

This paper presents some results on the gains obtained by applying optimum combining in a multiple antenna base station receiver for a TDMA system. Performance is assessed at both the link level and the network level, e.g. accounting for factors such as loading, frequency hopping, lack of synchronism between signals and number of antennas. It is shown that the radio link gain of optimum combining is rather limited in most situations, compared to the gain achievable in ideal conditions, and also that this gain cannot easily be translated into a capacity increase. Fractionally loaded networks with slow frequency hopping seem to present most promise in this respect.
Flood monitoring using ERS-1 SAR interferometry coherence maps

The potential of satellite repeat-pass SAR interferometry (InSAR) for flood monitoring is discussed. Using ESR-1 SAR images covering the 1993/94 flood event in the river Rhine, Germany, it is shown that, by evaluating the scene coherence, a reliable mapping of flood extent is feasible, even in cases of rough water surfaces where the analysis of conventional SAR intensity and multi-temporal images may fail.
A Study of Trust in Open Source Software

This study developed an algorithm which can be used to identify trust network from evaluation network. The algorithm developed uses global trust value of the members and their evaluation network to approximate local trust between members who are not directly connected to each other. Moreover, the computed approximated local trust was used to examine to what extent evaluation network can approximate trust information within OSS community and the results show that it is possible to approximate trust information by using evaluation network. Furthermore, this study analyses the likeliness of evaluation between members having different trust rank status. So, clustering of members was done and evaluation between groups shows that ”Richer gets rich”phenomenon and about 72% of member evaluated other members through their members account profiles and 28% evaluated other members through their accounts as contributors. This means that a lot of members are likely to evaluate other member because they have much of information about their personal details rather than their contribution details in different projects. Finally, the study uses one of the contribution metric known as man month to analyses the evolution of trust ranks against time based on members contributions. Furthermore, results show that the developers contribution will make him or her to be trusted in OSS community. Qualitative study was conducted to analyses the data collected from OpenHub data repository. This is because OpenHub data repository offers data of different projects, developers activities in OSS communities and trust information like kudo rank which are significant base data used to conduct this study.
Single machine scheduling with deadlines to minimize the weighted number of tardy jobs

This paper considers as single machine scheduling problem in which jobs have due dates and deadlines. A job may be completed after its due date, but not after its deadline, in which case it is tardy. A branch and bound algorithm is proposed to find a schedule which minimizes the weighted number of tardy jobs. It uses lower bounds which are derived using the dynamic programming state-space relaxation method. Computational experience with test problems having up to 300 jobs indicates that the lower bounds are extremely effective in restricting the size of the branch and bound search tree.
Competence visualisation: Making sense of data from 21st-century technologies in language learning

Abstract This paper introduces an open learner model approach to learning analytics to combine the variety of data available from the range of applications and technologies in language learning, for visualisation of language learning competences to learners and teachers in the European language context. Specific examples are provided as illustrations (Facebook, Second Life and mobile assisted language learning (MALL)), though the approach is a general one. We describe the Next-TELL open learner model as an exemplar that can encompass a range of data from a variety of technologies and activities, and as a competence-focussed visual analytics tool that can be readily used inside and outside the classroom. The Next-TELL open learner model offers several visualisations for learners and teachers to explore the learner’s current competences, which can be selected according to user preferences or the purpose of viewing the learning data. The selection of visualisations means that the open learner model is appropriate for school, university and other learning contexts. Viewing this data can help students to reflect on and monitor their learning, and can support teachers’ decision-making during classroom activities or later, in their planning of subsequent sessions. As an example, we outline the use of the Next-TELL open learner model in a school in Norway.
Conversation Analysis for language teachers: Refining descriptions to facilitate teacher-student talk

One measure of applied linguistics is in the power of its descriptive accounts to heighten awareness and deepen understanding of how participants organize social interaction through spoken language. A case in point is the ever-growing use of Conversation Analysis (CA) as an analytical tool to uncover details that might otherwise be overlooked or taken for granted. While its focus on the study of how ordinary conversation is sequentially organized has remained constant over the years, application has expanded. The body of work in CA now includes institutional talk, second language conversations, CA for SLA, and recently CA for language teachers.
A study of implantable power assist and transhumeral robotic prostheses

Few decades ago, usually robots were considered as tools in a manufacturing environment to perform welding, spray painting, drilling, material handling or assembling operations. However, recent advances in robotics technology bring a lot of benefit not only in industrial sector, but also in several other sectors. Using the robotics technology in the present world can be found in the manufacturing industry, military application, space exploration, transportation, amusement, rescue operation, household, medical, hazardous environment application etc. In order to acquire unprecedented control and precision, robotics is being introduced to medical application. The continuous advancement of artificial intelligence and robotics technology enables the robots to work in an autonomous manner or in combination with the human in the field of medical applications. Currently robots are used to help or to take care of the patients as a functional substitute of the nurses, as an assistant for the medical surgeon to carry out complex surgery, as a power assist and rehabilitation device for the physically disabled persons, etc. In this thesis, the design and control strategy of implantable power assist and transhumeral robotic prostheses is described which are expected to play a vital role among the physically disabled and above-elbow amputees society, respectively, in near future. In order to help the physical activities of elderly or physically disabled persons, a new concept of implantable power assist prosthesis is proposed in this thesis that is supposed to assist the human daily life motion from inside of the human body. This thesis presents an implantable 2 degree of freedom (DOF) power assist prosthesis (i.e., inner skeleton robot) that is designed to assist human elbow flexion-extension motion and forearm supination-pronation motion in daily life activities. In this research a prototype of inner skeleton robot is developed that is supposed to assist the motion from inside of the body and act as an actuated artificial joint. The proposed system is controlled based on the activation patterns of the electromyogram (EMG) signals of
Legibility and the rating of second language writing: An investigation of the rating of handwritten and word-processed IELTS task two essays

Handwriting and neatness of presentation has long been seen as a contaminating factor in the assessment of writing ability. In particular it has been invoked as a possible reason why girls tend to perform better in relation to boys on free-response writing tests than they do in forced-choice formats in tests of first and second language proficiency.