Miracle-dz/UniFAR-FTUs huggingface dataset:
PEMBELAJARAN DALAM PERSPEKTIF KREATIVITAS GURU DALAM PEMANFAATAN MEDIA PEMBELAJARAN

Learning will work well without using media appropriate to the material to be taught, because apart from being an intermediary media is also useful to overcome the limitations of space, time, and power the senses, such as an object that is too large can be replaced with reality, image, or movie frame , In use in the learning process, the teacher must know and master as well as capable of using media in teaching and learning. This capability is an imaginative activity that result is the formation of a combination of information obtained from previous experiences into new, meaningful and useful. So therefore, the creativity of teachers in the use of instructional media can be concluded, namely: (1) The creativity of teachers in the use of instructional media in learning a subject usually, only teachers use media such as books, whiteboard and markers. The success of the learning process depends on the competence of teachers in mastering the material or subject matter. Schools seek help improve the facilities and means associated with school education in one facility and related instructional media to increase student achievement and quality of education in schools.
Simion 3D Version 6.0 User`s Manual

The original SIMION was an electrostatic lens analysis and design program developed by D.C. McGilvery at Latrobe University, Bundoora Victoria, Australia, 1977. SIMION for the PC, developed at the Idaho National Engineering Laboratory, shares little more than its name with the original McGilvery version. INEL`s fifth major SIMION release, version 6.0, represents a quantum improvement over previous versions. This C based program can model complex problems using an ion optics workbench that can hold up to 200 2D and/or 3D electrostatic/magnetic potential arrays. Arrays can have up to 10,000,000 points. SIMION 3D`s 32 bit virtual Graphics User Interface provides a highly interactive advanced user environment. All potential arrays are visualized as 3D objects that the user can cut away to inspect ion trajectories and potential energy surfaces. User programs have been greatly extended in versatility and power. A new geometry file option supports the definition of highly complex array geometry. Extensive algorithm modifications have dramatically improved this version`s computational speed and accuracy.
Aspects of Content Generation Through Narrative Communication and Simulation

In this chapter, the authors focus on narrative contents by considering and analyzing narrative communication and simulation. In particular, the authors present the multiple narrative structures model and informational narratology as original theoretical frameworks in seeking to undertake narrative hierarchical and multiple structures and micro and macro structures. The authors also introduce, as designing and developing systems, the integrated narrative generation system (INGS) for implementing the narrative micro mechanism, and the geinō information system (GIS) for designing the macro mechanism. Furthermore, neural network technologies including deep learning are also introduced to show the technological possibility of implementing narrative generation systems. These show a synthesized approach or establish a paradigm for narrative generation studies.
Cooperation and negotiation of agents by means of Petri net-based models

Modelling agents by means of place/transition Petri nets (P/T PN) are introduced here and three possibilities of the agents cooperation and negotiation are introduced and analyzed. While PN places model states of atomic activities, the PN transitions model discrete events. However, the cooperation and negotiation are concerned by means of P/T PN too. The cooperation and negotiation are realized by the mutual communication of agents on way of the information exchange by means of: (i) the particular states of the communicating agents through the interface realized by PN transitions; (ii) the mediate states of the interface represented by PN places (being components — states — of a supervisor); (iii) both the PN transitions and the PN places. Finally, also the hierarchical cooperation is proposed, where the supervisor on upper level coordinates activities of autonomous agents on lower level.
3D reconstruction of skeletal mesh models and human foot biomodel generation using semantic parametric-based deformation

ABSTRACT This paper introduces two methodologies for the reconstruction of skeletal mesh models and for the generation of parametric bone models of the human foot. First, a new Parametric-Based Deformation methodology is presented, which deforms a template 3D mesh according to user-defined semantic parameters in order to derive a new bone model. The proposed method allows the parameterization of dense and detailed 3D meshes of human foot bones. An extensive evaluation is performed to examine the accuracy, quality, and performance of the proposed method with human and animal bones, and versus existing statistical-based methods in the literature. Also, a novel methodology is proposed for the generation of parametric bone models of the human foot using non-calibrated biplanar X-rays. The proposed method has been applied for the production of detail 3D foot biomodels from an initial template biomodel and has been evaluated using human and animal bones.
Using Dr. Scratch as a Formative Feedback Tool to Assess Computational Thinking

This study investigated if using Dr. Scratch as a formative feedback tool would accelerate students' Computational Thinking (CT). Forty-one 4th-6th grade students participated in a 1-hour/week Scratch workshop for nine weeks. We measured pre- and posttest results of the computational thinking test (CTt) between control (n = 18) and treatment groups (n = 23) using three methods: propensity score matching (treatment = .575; control = .607; p = .696), information maximum likelihood technique (treatment effect = -.09; p = .006), and multiple linear regression. Both groups demonstrated significantly increased posttest scores over their pretest (treatment = +8.31%; control = +5.43%), showing that learning to code can increase computational thinking over a 2-month period. In this chapter, we discuss the implications of using Dr. Scratch as a formative feedback tool the possibilities of further research on the use of automatic feedback tools in teaching elementary computational thinking.
Pilot contamination reduction in massive MIMO systems

Massive MIMO systems have been pointed out as one of the possible strategies to enhance system performance and reach the high data rates modern wireless communications demand. It represents a breakthrough in modern investigations given the new degrees of freedom and the extra dimensional space it provides. However, given the lack of channel knowledge, estimation must be employed. After this process, some interference due to the fast variation of the channel, which implies users sharing training sequences, is left. This is commonly referred to as pilot contamination and heavily compromises the throughput, specially in the large scale antennas regime. In this thesis, we will first study in detail this dramatic effect for later introducing different proposals that attempt to reduce its impact. In particular, we will start with the use of two main filters as basic processing. Next, allocation schemes to properly distribute users are discussed. Then, we will suggest projection based methods that transform the estimates with the purpose of canceling the undesired portions and strengthen the user destined signals. At the end of this analysis, it is shown numerically that the approaches presented behave well in these scenarios and help mitigate the interference created. This allows a faster and more robust transmission of information to take place in environments where pilot contamination is present.
Sistem Rekomendasi pada Buku dengan Menggunakan Tags and Latent Factors

Sistem Rekomendasi atau Recommender System, bertujuan untuk membantu user dengan cara memberikan rekomendasi kepada user ketika dihadapkan dengan jumlah informasi yang besar. Rekomendasi yang diberikan diharapkan dapat membantu user dalam proses pengambilan keputusan, seperti buku apa yang akan dibaca. Dengan adanya rekomendasi yang tepat, user akan memiliki preferensi tambahan ketika mencari buku. Dalam pengerjaan Tugas Akhir ini, penulis menggunakan Tags and Latent Factors yang merupakan algoritma tambahan pada metode Matrix Factorization yang membantu sistem rekomendasi dalam meningkatkan akurasi prediksi sehingga mampu menebak minat user dan mampu memberikan rekomendasi. Tags berfungsi sebagai jembatan yang memungkinkan user untuk lebih memahami hubungan yang tidak diketahui antara item dan user itu sendiri, sedangkan latent factors bertujuan untuk membentuk kesamaan antara user dan item dimana kesamaan ini berupa antar user yang tertarik atau menyukai item yang sama. Pada Tugas akhir ini akan dilakukan skenario pengujian dimana nilai dari hasil pengujian akan menjadi parameter akurat atau tidaknya sebuah sistem dengan menggunakan Mean Absolute Error (MAE) . Diberikan 3 buah skenario pengujian dengan menggunakan 3 jenis dan jumlah data berbeda dan didapatkan 3 nilai hasil pengujian akhir dengan nilai masing-masing 0.41, 0.38, dan 0.38 dimana 3 nilai tersebut memiliki selisih yang tidak terlalu besar. Dan dapat disimpulkan bahwa Tags and Latent Factors dapat digunakan untuk memberikan rekomendasi pada buku. Kata kunci: recommender system, matrix factorization, tags and tatent factors
Developing an Intelligent Question Answering System

The goal of an intelligent answering system is that the system can respond to questions automatically. For developing such kind of system, it should be able to answer, and store these questions along with their answers. Our intelligent QA (iQA) system for Arabic language will be growing automatically when users ask new questions and the system will be accumulating these new question-answer pairs in its database. This will speed up the processing when the same question(even if it is in different syntactical structure but semantically same) is being asked again in the future. The source of knowledge of our system is the World Wide Web(WWW). The system can also understand and respond to more sophisticated questions that need a kind of temporal inference.
Fuzzy Ontology-based Approach for the Requirements Query Imprecision Assessment in Data Warehouse Design Process near Negative Fuzzy Operator

— The vagueness in decision-making may be due to ambiguity in the decisional requirements expression. Therefore, in the literature dealing with vagueness in decision systems, studies were concentrated on data vagueness and not on decision requirements. In order to evaluate the expression in decision-making requirements and in order to improve the data warehouses design quality, this paper presents a rigorous fuzzy ontology-based solution. Based on the latest Zadeh theory “Ref. [1]”, Authors in “Ref. [2.3]”, propose a solution consisting in using ontologies to provide "an understanding of how the meaning of a proposal can be composed of the meaning of its constituents. One of the limitations of this solution is the fuzziness presence only at the adjective sentence. In some sense, our proposal can be
'Open Data' and the Semantic Web Require a Rethink on Statistics Teaching - eScholarship

The concept of statistical literacy needs to be refreshed, regularly. Major changes in the ways that data can be accessed from government and non-government agencies allow everyone to access huge databases, to create new variables, and to explore new relationships. New ways of visualizing data provide further challenges and opportunities. The Open Data movement, and the rise of data driven journalism are increasing public access to large scale data via the media. Here, we map out some opportunities and potential pitfalls, and discuss the rebalancing of statistics curricula that is required. The most obvious challenge is the need to introduce students to the exploration and analysis of large scale multivariate data sets. The curriculum should also address issues of data provenance and quality. We present an example of our visualisations of complex multivariate data, used in classroom trials. General issues of pedagogy and curriculum innovation are discussed.
How to Build a Digital Library, Second Edition

How to Build a Digital Library is the only book that offers all the knowledge and tools needed to construct and maintain a digital library, regardless of the size or purpose. It is the perfectly self-contained resource for individuals, agencies, and institutions wishing to put this powerful tool to work in their burgeoning information treasuries. The Second Edition reflects new developments in the field as well as in the Greenstone Digital Library open source software. In Part I, the authors have added an entire new chapter on user groups, user support, collaborative browsing, user contributions, and so on. There is also new material on content-based queries, map-based queries, cross-media queries. There is an increased emphasis placed on multimedia by adding a "digitizing" section to each major media type. A new chapter has also been added on "internationalization," which will address Unicode standards, multi-language interfaces and collections, and issues with non-European languages (Chinese, Hindi, etc.). Part II, the software tools section, has been completely rewritten to reflect the new developments in Greenstone Digital Library Software, an internationally popular open source software tool with a comprehensive graphical facility for creating and maintaining digital libraries. As with the First Edition, a web site, implemented as a digital library, will accompany the book and provide access to color versions of all figures, two online appendices, a full-text sentence-level index, and an automatically generated glossary of acronyms and their definitions. In addition, demonstration digital library collections will be included to demonstrate particular points in the book. to access the online content please visit, http://www.greenstone. org/howto *Outlines the history of libraries-- both traditional and digital-- and their impact on present practices and future directions. *Written for both technical and non-technical audiences and covers the entire spectrum of media, including text, images, audio, video, and related XML standards. *Web-enhanced with software documentation, color illustrations, full-text index, source code, and more.
A Survey on Information Retrieval Models, Techniques and Applications

It has been long time many people have realized the importance of archiving and finding information. With the advent of computers, it became possible to store large amounts of information; and finding useful information from such collections became a necessity. Over the last forty years, Information Retrieval (IR) has matured considerably. Several IR systems are used on an everyday basis by a wide variety of users. Information retrieval (IR) is generally concerned with the searching and retrieving of knowledge-based information from database. In this paper, we will discuss about the various models and techniques and for information retrieval. We are also providing the overview of traditional IR models.
Applying Novel Clone Immune Algorithm to Solve Flexible Job Shop Problem with Machine Breakdown

Solving Flexible Job Shop Problem (FJSSP) under machine breakdown with robustness and stability is an important field of manufacturing. Due to the shortage of the existing measure of stability based on the end time of each operation, a new stable measure based on machine allocation for each operation is proposed. Considering this is a multi-object problem and their optimization can be seen as game procedure, a game model is build and the Nash Equilibrium (NE) solutions of the problem are tried to find. To obtain the better NE solution, an improving clone immune algorithm is also proposed. In this algorithm, Pareto-optimization mechanism is introduced to shrink the searching scope of NE solutions and the better solutions are obtained. Experiments show the effectiveness of the new approach.
Hybrid Parallel Implementation of Multiple Sequence Alignment Software ClustalW on Intel Xeon Phi

— This work is aimed to investigate and to improve the performance of multiple sequence alignment software ClustalW on the test platform EURORA at CINECA, for the case study of the influenza virus sequences. The objective is code optimization, porting, scaling and performance evaluation of parallel multiple sequence alignment software ClustalW for Intel Xeon Phi (the MIC architecture). For this purpose a parallel multithreaded optimization including OpenMP has been implemented and verified. The experimental results show that the hybrid parallel implementation utilizing MPI and OpenMP provides considerably better performance than the original code.
Detecting Bugs by Discovering Expectations and Their Violations

Code mining has been proven to be a promising approach to inferring implicit programming rules for finding software bugs. However, existing methods may report large numbers of false positives and false negatives. In this paper, we propose a novel approach called EAntMiner to improve the effectiveness of code mining. EAntMiner elaborately reduces noises from statements irrelevant to interesting rules and different implementation forms of the same logic. During preprocessing, we employ program slicing to decompose the original source repository into independent sub-repositories. In each sub-repository, statements irrelevant to critical operations (automatically extracted from source code) are excluded and various semantics-equivalent implementations are normalized into a canonical form as far as possible. Moreover, to tackle the challenge that some bugs are difficult to be detected by mining frequent patterns as rules, we further developed a kNN-based method to identify them. We have implemented EAntMiner and evaluated it on four large-scale C systems. EAntMiner successfully detected 105 previously unknown bugs that have been confirmed by corresponding development communities. A set of comparative evaluations also demonstrate that EAntMiner can effectively improve the precision of code mining.
Introduction to Machine Learning

1. Submit a PDF of your homework to the Gradescope assignment entitled “HW2 Write-Up”. You may typeset your homework in LTEX or Word (submit PDF format, not .doc/.docx format) or submit neatly handwritten and scanned solutions. Please start each question on a new page. If there are graphs, include those graphs in the correct sections. Do not put them in an appendix. We need each solution to be self-contained on pages of its own.
Efficient Rendering of Highly Detailed Volumetric Scenes with Giga Voxels

GigaVoxels is a voxel-based rendering pipeline that makes the display of very large volumetric datasets very efficient. It is adapted to memory bound environments and it is designed for the data-parallel architecture of the GPU. It is capable of rendering objects at a detail level that matches the screen resolution and interactively adapts to the current point of view. Invisible parts are never even considered for contribution to the final image. As a result, the algorithm obtains interactive to real-time framerates and demonstrates the use of extreme amounts of voxels in rendering, which is applicable in many different contexts. This is also confirmed by many game developers who seriously consider voxels as a potential standard primitive in video games. We will also show in this chapter that voxels are already powerful primitives that, for some rendering tasks, achieve higher performance than triangle-based representations.
Blockchain ​ for Science and Knowledge Creation

Please note, that this document is not only a review, but some concepts regarding Blockchain For Science have been shared here for the first time, so it is Original Work. ​Please give appropriate reference​, it has some weaknesses, but is the most compelling document on what blockchain has to offer for Science and Knowledge Creation for the time being. The maintainer will restructure asap. Blockchain space moves fast. Older versions ​here​ (earliest thoughts:)), ​here​ and ​here​.
Using Semantic Web, Ontologies and Blogs for Knowledge Identification, Organisation and Reuse

In this paper, we propose an approach to make knowledge-based blogging more interesting, reliable and sophisticated by using semantic web with ontology in the blogging environment. The aim of our research is to realise the knowledge management processes of identification, organisation and reuse (adaptation and application) via the blogging environment for them to be available to users in a seamless application. To achieve knowledge identification, we employ natural language processing techniques coupled with ontologies to identify possible categories of new blog posts. For knowledge organisation, we finalise the categorisation of blog posts and store them into a repository. Finally, in knowledge reuse, we create semantic links between blog posts and other related documents. These processes are integrated in a blogging framework which we call SEMblog.
Weight-based Word Sense Disambiguation Method for Myanmar-to-English Language Translation

In many natural language processing (NLP) techniques, machine translation is a popular and useful technique. Machine translation technique is a translation process from one to another language. This technique is thus very useful for people around the world. While translating the languages, ambiguity is a big challenge because many words have several meanings. Ambiguous words have damaging effects on the precision of machine translation. To solve this problem, word sense disambiguation (WSD) method is useful for automatically identifying the correct meaning of an ambiguous word. In order to have a better precision, weight-based WSD method is proposed by taking advantage of a Minkowski distance method. As the proposed method considers the weight values of each sense of training and input vectors while observing the ambiguous words, it is more effective than the simple translation system. Experimental results show that the weight-based WSD method gives a better precision approximately 51% when compared to the simple machine translation method.
COMPARISON OF TRANSONIC STORE SEPARATION TRAJECTORY PREDICTIONS USING THE PEGASUS/DXEAGLE AND BEGGAR CODES

Two time-accurate computational fluid dynamic prediction techniques are demonstrated for a store separation event at transonic speeds. Both overlapping and blocked grid approaches are used, coupled with an implicit Euler flow solver with a flux-differenc e split scheme based on Roe's approximate Riemann solver and a six-degree-of- freedom trajectory component. All major trends of the trajectory are captured and surface pressure distributions are predicted. Computational execution times for both approaches are discussed and code improvements are proposed. NOMENCLATURE