Miracle-dz/UniFAR-FTUs huggingface dataset:
The invention of good games: understanding learning design in commercial video games

This work sought to help inform the design of educational digital games by the studying the design of successful commercial videogames. The main thesis question was: How does a commercially and critically successful modern video game support the learning that players must accomplish in order to succeed in the game (i.e. get to the end or win )? This work takes a two-pronged approach to supporting the main argument, which is that the reason we can learn about designing educational games by studying commercial games is that people already learn from games and the best ones are already quite effective at teaching players what they need to learn in order to succeed in the game. The first part of the research establishes a foundation for the argument, namely that accepted pedagogy can be found in existing commercial games. The second part of the work proposes new methods for analysing games that can uncover mechanisms used to support learning in games which can be emplyed even if those games were not originally designed as educational objects. In order to support the claim that ‘good’ commercial videogames already embody elements of sound pedagogy an explicit connection is made between game design and formally accepted theory and models in teaching and learning. During this phase of the work a significant concern was raised regarding the classification of games as ‘good’, so a new methodology using Borda Counts was devised and tested that combines various disjoint subjective reviews and rankings from disparate sources in non-trivial manner that accounts for relative standings. Complementary to that was a meta-analysis of the criteria used to select games chosen as subjects of study as reported by researchers. Then, several games were chosen using this new ranking method and analysed using another new methodology that was designed for this work, called Instructional Ethology. This is a new methodology for game design deconstruction and analysis that would allows the extraction of information about mechanisms used to support learning. This methodology combines behavioural and structural analysis to examine how commercial games support learning by examining the game itself from the perspective of what the game does. Further, this methodology can be applied to the analysis of any software system and offers a new approach to studying any interactive software. The results of the present study offered new insights into how several highly successful commercial games support players while they learn what they must learn in order to succeed in those games. A new design model was proposed, known as the 'Magic Bullet' that allows designers to visualize the relative proportions of potential learning in a game to assess the potential of a design.
Pemilihan Parameter Smoothing pada Probabilistic Neural Network dengan Menggunakan Particle Swarm Optimization untuk Pendeteksian Teks Pada Citra

Teks sering dijumpai di berbagai tempat seperti nama jalan, nama toko, spanduk, penunjuk jalan, peringatan, dan lain sebagainya. Deteksi teks terbagi menjadi tiga pendekatan yaitu pendekatan tekstur, pendekatan edge, dan pendekatan Connected Component. Pendekatan tekstur dapat mendeteksi teks dengan baik, namun membutuhkan data training yang banyak. Probabilistic Neural Netwok (PNN) dapat mengatasi permasalahan tersebut. Namun PNN memiliki permasalahan dalam menentukan nilai parameter smoothing yang biasanya dilakukan secara trial and error. Particle Swarm Optimization (PSO) merupakan algoritma optimasi yang dapat menangani permasalahan pada PNN. Pada penelitian ini, PNN digunakan pada pendekatan tekstur guna menangani permasalahan pada pendekatan tekstur, yaitu banyaknya data training yang dibutuhkan. Selain itu, digunakan PSO untuk menentukan parameter smoothing pada PNN agar akurasi yang dihasilkan PNN-PSO lebih baik dari PNN tradisional. Hasil eksperimen menunjukkan PNN dapat mendeteksi teks dengan akurasi 75,42% hanya dengan mengunakan 300 data training, dan menghasilkan 77,75% dengan menggunakan 1500 data training. Sedangkan PNN-PSO dapat menghasilkan akurasi 76,91% dengan menggunakan 300 data training dan 77,89% dengan menggunakan 1500 data training. Maka dapat disimpulkan bahwa PNN dapat mendeteksi teks dengan baik walaupun data training yang digunakan sedikit dan dapat mengatasi permasalahan pada pendekatan tekstur. Sedangkan, PSO dapat menentukan nilai parameter smoothing pada PNN dan menghasilkan akurasi yang lebih baik dari PNN tradisional, yaitu dengan peningkatan akurasi sekitar 0,1% hingga 1,5%. Selain itu, penggunaan PSO pada PNN dapat digunakan dalam menentukan nilai parameter smoothing secara otomatis pada dataset yang berbeda.
Les troubles morphologiques flexionnels dans la maladie de Parkinson : origine procédurale et/ou exécutive?

La maladie de Parkinson est une maladie neurodegenerative caracterisee par des troubles moteurs mais egalement par des troubles cognitifs affectant la memoire de travail, la memoire declarative et les capacites attentionnelles. Sur le plan du langage, on releve aussi dans cette maladie la presence de troubles de la morphologie flexionnelle. Dans cet article, nous presentons et discutons des appuis respectifs aux propositions procedurales et executives relatives a l’origine fonctionnelle des troubles morphologiques flexionnels dans la maladie de Parkinson. Nous rapporterons egalement les resultats d’une etude que nous avons menee recemment aupres de 15 sujets souffrant de la MP et qui suggere une contribution, non specifique au langage, des ganglions de la base aux processus executifs impliques en morphologie flexionnelle.
@twitter analysis of #edmediaXX– is the #informationstream usable for the #mass

In this paper we report the use of an application that enables an automatic analyses of social media content. In this early stage of development our work focuses on data from Twitter1 as currently to be the most popular and fastest growing microblogging platform. After an introduction about a general concept the conference tweets of a big e-learning conference are examined. It is aimed to show whether there is a possibility to get significant information from a pool of postings or not. The publication concludes that a keyword extraction can be taken as basis for further investigations and treatment of data.
Apprentissage de structures multi-dimensionnelles pour l'improvisation musicale

L'improvisation automatique est un domaine recent issu des etudes sur la creativite artificielle. Les systemes actuels d'improvisation automatique sont capables de prendre en consideration des informations unidimensionnelles, typiquement la melodie, fournies en direct par un musicien ou lues dans un corpus afin de generer de nouvelles improvisations par une recombinaison du materiau musical. Cependant, ils ne sont pas capables de prendre en consideration des informations multi-dimensionnelles. Or la musique comporte de nombreuses dimensions : melodie, harmonie, rythme. Dans ce rapport, nous evaluons l'interet de prendre en compte plusieurs dimensions musicales dans le cadre de l'improvisation en appliquant des methodes d'interpolation de sous-modeles issues du domaine de l'apprentissage automatique et des principes de modelisation de langage. Nous effectuons l'apprentissage et les tests sur un corpus d'improvisation de jazz. Nous evaluons les resultats en comparant leurs entropies croisees. Nous montrons que dans certains cas, l'interpolation de sous-modeles permet d'obtenir un meilleur pouvoir de prediction que lorsque l'on ne considere qu'une seule dimension musicale. Mot-clefs : improvisation automatique, apprentissage automatique, modelisation du langage.
Prosodic phrasing in NXA?AMXCÍN (Salish) declarative clauses

The article reports results from a pilot study of the phonetic correlates of declarative clauses from a narrative in Salish. There is a small but growing body of research describing the properties of prosodic phrasing in Salish languages. While seminal research on prosodic phrasing in English and Japanese is based on targeted elicitations, work on prosody in endangered languages often comes from varying sources. The maximum FO of stressed, phrase-initial and -final vowels of the target phrase, as well as the final vowel of the preceding phrase were measured. If pitch was higher than that of either surrounding vowel, it was considered a pitch peak. Phrase boundaries were correlated with a L% initial and final tone, provided the boundary vowels were not stressed. About 89% of phrases with unstressed boundary vowels were associated with a L%, while 91% of phrases with a stressed boundary vowel showed no rise or fall.
Scalable Load Distribution for View Divergence Control of Data Freshness in Replicated Database Systems

A scalable load distribution method for view divergence control of statistically defined data freshness in replicated database systems is proposed. This method enables a number of mobile and fixed client nodes to continue their processes even when they lose connectivity to a network or do not have sufficient bandwidth to meet application requirements, which is very likely to occur to mobile client nodes. This can be achieved by renewing copies of data in client nodes while they maintain connectivity to a network so that their copies of data are sufficiently fresh to meet application requirements while they lose network connectivity. The load distribution for view divergence control is achieved by determining multiple sets of replicas from which client nodes retrieve the values of data through read transactions. Client nodes calculate the value of data that reflect updates which have already reached one or more elements in the determined set of replicas. We show that our method reduces the load of processing read transactions to less than about 1/40 of that in the original method in order to improve data freshness to about 2/5 of the maximum update delay in a large-scale network.
A fuzzy system for rose recognition

This paper describes a rose analysis and recognition program and presents some principles of a fuzzy system realizing this recognition program. The major principles presented in this paper are our fuzzy description methods for rose features, which explain how to mathematically and quantitatively describe rose features by the fuzzy set concept, and weight coefficient, which explains how to use different rose features rationally in the recognition scheme. Experiment results are given which demonstrate the efficiency of our methods.
Online Learning in Higher Education: a review of research on interactions among teachers and students

Online learning has become a widespread method for providing education at the graduate and undergraduate level. Although it is an extension of distance learning, the medium requires new modes of presentation and interaction. The purpose of this article is to provide an overview of the existing literature in communications, distance education, educational technology, and other education-related fields, to articulate what is currently known about online teaching and learning, how the field has been conceptualized in the various research communities, and what might be useful areas for future research. The review indicates that, although there has been extensive work to conceptualize and understand the social interactions and constructs entailed by online education, there has been little work that connects these concepts to subject-specific interactions and learning. That is, the literature provides insights into social aspects of online teaching and learning such as the development of community, the social roles of teachers and students, and the creation of online presence. The review recommends future research into how these social, personal, and interpersonal aspects relate to subject matter learning, the impact of differences in subject matter, and how students learn online.
Internet Przyszłości - nowa generacja sieci telekomunikacyjnych

Infrastruktura sieci telekomunikacyjnych podlega ciąglym zmianom, przy czym zmiany te są zarowno ewolucyjne, jak i rewolucyjne. Przykladem zmiany ewolucyjnej bylo wprowadzenie techniki NISDN (Narrowband Integrated Service Digital Network), ktora poszerzala funkcjonalnośc sieci telefonicznych o mozliwości komutacji kanalow o roznych szybkościach bitowych (n×64 kbit/s) oraz wprowadzenie uslugi przekazu pakietow. Z kolei, wprowadzenie sieci internet opartej na stosie protokolow TCP/IP (Transport Control Protocol/Internet Protocol) mozna uznac za przyklad rewolucyjnego rozwoju infrastruktury telekomunikacyjnej. W porownaniu z sieciami z komutacją kanalow, w ktorych glowny nacisk jest polozony na zestawianie, utrzymanie i rozlączanie fizycznych ściezek, lączących w sieci urządzenia koncowe, w sieci TCP/IP z komutacją pakietow podstawą jest polączenie wirtualne lub tzw. bezpolączeniowy przekaz pakietow oraz przeniesienie „inteligencji” z sieci do urządzen koncowych. W przypadku sieci TCP/IP kluczowym elementem jest protokol TCP, ktory jest umiejscowiony na zewnątrz sieci i ma mechanizmy do adaptacji szybkości generowania informacji do sieci do warunkow ruchowych panujących w niej. W tym czasie, miedzy techniką NISDN i techniką TCP/IP, w latach 90. pracowano nad techniką ATM (Asysnchronous Transfer Mode), ktora lączy wlaściwości komutacji kanalow, polegającej na zestawianiu polączen oraz zarządzaniu sieciami, z wlaściwościami komutacji pakietow, opartej na przekazie pakietow w sieci (w tym przypadku pakietow o stalej dlugości, zwanych komorkami). Obecnie, mimo wielu zalet techniki ATM, infrastruktura telekomunikacyjna sieci internet dziala, wykorzystując technike TCP/IP. Dlatego, w pierwszej dekadzie biezącego wieku, glowne prace dotyczące sieci TCP/IP skupialy sie wokol poprawy funkcjonalności tej techniki i obejmowaly takie zagadnienia, jak: zapewnienie jakości przekazu pakietow (Quality of Service – QoS), wspolpraca z innymi sieciami, zarządzanie siecią, wprowadzenie ochrony przekazu informacji, polepszenie dzialania protokolu TCP itd. Prace te byly prowadzone w ramach licznych projektow miedzynarodowych, projektow krajowych, organizacji standaryzacyjnych itp.
The Logical problem of language acquisition

This collection of articles and associated discussion papers focuses on a problem that has attracted increasing attention from linguists and psychologists throughout the world during the past several years. Reduced to essentials, the problem is that of discovering the character of the mental capacities that make it possible for human beings to attain knowledge of their language on the basis of fragmentary and haphazard early linguistic experience. A fundamental assumption running through all of these contributions is that people possess strong innate predispositions that are critical for success in this task.
The Research of Video Quality Evaluating Based on MATLAB

Video quality impairments mainly caused by noisy transmit channel. No-Reference evaluating method is an important way to predict the video quality due to without any other loader to the transmit channel. Aiming at improve the accuracy and effectiveness of No-Reference video quality evaluating model, a novel variable-weight evaluating model is proposed. Motion intensity is introduced to qualify the variation of video content. And a weight control function is obtained based on the statistic studying method. Then the weight of clearness and smoothness can be adjusted in real time through the weight control function. The variable-weight evaluating model takes into the human perceptual properties. The experimental results show that the variable-weight evaluation model outperforms the existing evaluation models and achieves high correlation with the subjective test results.
A prototype system for ground control space telerobotics

A telerobotics system is described which provides supervised autonomous control capability for time-delayed ground-remote control applications. The system includes a local site operator interface for interactive task description and a remote site task execution system. Interactive stereo graphics overlay on video is provided at the local site to update the remote environment model. The remote site system is capable of nominal task execution, as well as monitoring and reflex motion. Execution utilizes multiple control modules which execute based on command parameterization. <<ETX>>
Protecting Location with Dynamic Differential Privacy under Temporal Correlations

Concerns on location privacy frequently arise with the rapid development of GPS enabled devices and location-based applications. While spatial transformation techniques such as location perturbation or generalization have been studied extensively, most techniques rely on syntactic privacy models without rigorous privacy guarantee. Many of them only consider static scenarios or perturb the location at single timestamps without considering temporal correlation of a moving user's locations, and hence are vulnerable to various inference attacks. While differential privacy has been accepted as a de facto standard for privacy protection, applying differential privacy in location based applications presents new challenges, as the protection needs to be enforced on the fly for a single user and needs to incorporate temporal correlation between a user's locations. In this paper, we propose a systematic solution to preserve location privacy with rigorous privacy guarantee. First, we propose a new definition, dynamic differential privacy, to account for the temporal correlation in location data. Second, we show that the well known $\ell_1$ norm sensitivity fails to capture the geometric sensitivity in multidimensional space and propose a new notion, sensitivity hull, based on which the utility of dynamic differential privacy is bounded. Third, to obtain the optimal utility we present a planar isotropic mechanism (PIM), which is the first mechanism achieving the lower bound of differential privacy. We also implement PIM on real-world datasets to demonstrate its performance.
IMPLEMENTASI KEBIJAKAN PROGRAM PAMSIMAS (PENYEDIAN AIR MINUM DAN SANITASI BERBASIS MASYARAKAT)

ABSTRAK Air merupakan kebutuhan dasar bagi manusia, tetapi kenyataannya tetap bahwa tidak semua orang memiliki akses ke air bersih dan sehat memadai, sesuai dengan kebutuhannya. Masalah air dan sanitasi yang buruk di Indonesia menelurkan Program Pamsimas. Tujuan Program Pamsimas adalah untuk meningkatkan akses air minum dan sanitasi bagi masyarakat miskin di pedesaan dan pinggiran kota, serta meningkatkan nilai dan perilaku hidup sehat dengan membangun / menyediakan prasarana dan sarana air minum dan sanitasi berbasis masyarakat yang berkelanjutan dan dapat diadopsi oleh orang-orang untuk mencapai MDGs sasaran. Atas dasar ini, perlu untuk memeriksa pelaksanaan Air Bersih dan Sanitasi Berbasis Masyarakat. Kata Kunci: Implementasi, PAMSIMAS, Pengembangan, Sanitasi.
Statistical parameter estimation with neural networks of average flows in ATM networks

Summary form only given. The problem of flow control in ATM networks is a difficult one due to the uncertainties about the flow rates of the data streams coming from various sources of traffic at different nodes of the network. The flow control problem consists of multiplexing the ATM traffic and it is a challenging statistical management strategy where different patterns are directed into the communication channels. During the multiplexing stage, some prescribed performance constraints on the communication parameters should be strictly satisfied. The real motivation for considering an unconventional control technique for flow control in the ATM networks is because with the growing demand for the traffic of the integrated services (including voice and data communications), reliable decisions should be taken in real time. We consider the problem of estimating the statistical parameters of an intelligent control scheme for smoothing the ATM networks based on a neural network architecture. The neural network considered for carrying out the task of flow control runs the statistical estimation as an iterated map. The reason for this architectural design is the need to have a robust estimation scheme, where the convergence to an attractor of the neural dynamics can be enforced to hold in a small number of iterations of the statistical mapping. The neural network is symmetrically connected and this choice reflects a kind of tradeoff between the speed of convergence and the stability of the states during the successive states of the dynamical relaxation. A numerical experiment describing the dynamic performances of the neural controller for the ATM flow control is presented.
A firewall model for testing user-configurable software systems

User-configurable software systems present many challenges to software testers. These systems are created to address a large number of possible uses, each of which is based on specific configurations. Configurations are made with combinations of configurable elements and settings, leading to a huge number of possible combinations. Since it is infeasible to test all combinations at release, many latent defects remain in the software once deployed. An incremental testing approach is presented, where each customer configuration change requires impact analysis and retesting. This incremental approach involves cooperation and communications between the customer and the software vendor. The process for this approach is presented along with detailed examples of how it can be used on various user-configurable systems in the field. The overall efficiency and effectiveness of this method is shown by a set of empirical studies conducted with real customer configuration changes running on two separate commercially released ABB software systems. These two systems together contained ∼3000 configurable elements and ∼1.4 million Executable Lines of Code. In these five case studies, 460 failures reported by 100 different customers were analyzed. These empirical studies show that this incremental testing method is effective at detecting latent defects which are exposed by customer configuration changes in user-configurable systems.
Through a Glass Brightly: Material Appearance and Image Quality

Images have always presented a puzzle for perceptual scientists because they serve as visual representations of objects while also being objects themselves. Much effort has gone toward understanding how images represent the three-dimensional properties of objects, and there is now considerable knowledge about the relations between the geometric projections used in image rendering and the perceived shapes of depicted objects [1]. Considerably less effort has focused on how images convey other important object properties such as materials and textures [2], and although there is a vast literature on image quality that purports to speak to these issues [3], the premise of this project is that much this work is misguided because it conflates the idea of images as signals with the idea of images as messages. Efforts to increase image quality typically focus on improving the signal coding capabilities of the medium (resolution, frame rate, dynamic range, color gamut, etc.), with little regard for the messages (visual information) that the images will be used to communicate. The faith is that if the image signal is ideal then the message will be conveyed with high fidelity. This approach seems logical and has mathematical support from the fields of signal processing and information theory, however the danger of focusing exclusively on the signal properties of images is that we may miss insights and opportunities that come from distinguishing between the imaging medium and the visual messages conveyed by that medium.