Reviewerly/exHarmony huggingface dataset:
USING TECHNOLOGY INTEGRATION MATRIX TO EVALUATE LEARNING EXPERIENCES OF TEACHERS IN THE DESIGN AND DEVELOPMENT OF DIGITAL CONTENT

Recent research emphasizes on the ability of teachers to be content creators in the context of technology enabled learning. Research suggest that developing novel practices in authentic environment is a prerequisite for teacher’s professional development. At the same time, teachers are being called upon to become creators of digital content. This study focuses on the learning experiences of trainee teachers as they engage in creation of digital content. Technology Integration Matrix (TIM) provides a framework for describing and targeting the use of technology to enhance learning. This study uses at the use of TIM framework to understand how teachers engage in a technology-enabled classroom when developing digital content. The 30 participants in this study were enrolled in full-time and part-time course. Data was obtained from narratives from the teachers which were then analysed using qualitative data analysis methods. The results of the suggest that design and development of digital content promoted active learning, constructive learning, authentic learning and goal-directed learning.
Pengembangan Sistem Informasi Akuntansi Berbasis Desktop Dengan Metode Stradis

With the development of information technology that exists today we can do data processing easily, can produce an information that we need with accurate and effective time, and with the costs we spend more efficiently. Likewise in the management of financial data, information technology is an important thing for companies in managing financial data because it is expected to be able to assist the finance or accounting department in producing more accurate financial reports, and to make effective time in its preparation.
IMPLEMENTASI PROGRAM LITERASI SAINS BERBASIS ICT DI SD NEGERI 07 KOTA BENGKULU

The level of literacy in Indonesian is very low. Science literacy becomes very important for students to have as provisions to face the challenges of 21st-century development, including learning, innovating, critical thinking, problem-solving, creative, communication, and collaboration. Information, media, and technology literacy are becoming very important. The purpose of this activity can improve (1) teacher understanding of ICT media for literacy learning,(2) students knowledge about animal conservation using ICT-based literacy media, and (3) student responses about ICT-based literacy media. The target audiences are (1) teacher, and (2) grade IV A and B students from State Elementary School Number 07 in Bengkulu City. The activity was carried out on the thematic learning theme 3 Caring for Living Things, Subtheme 2 Diversity of Living Things in My Environment using the ICT Based Project Based Learning model. The methods used: presentations, Focus Group Discussion, simulations and demonstrations, and classroom learning practices. The instruments used a teacher questionnaire, student responses, and essay questions. The conclusions obtained: (1) the percentage for teacher understanding of ICT literacy is still low, about 54.55%, (2) students with good categories about animal life knowledge by 93.1%, and (3) student interest on ICT learning increase about 84.62%. Suggestions given to support the successful implementation for the literacy program in elementary schools, are: (1) teachers should be able to use ICT-based learning media both on- line and off-line; (2) teachers design an assessment of students high-level thinking knowledge.
A New Visualization Method Using Self-Organizing Map

When visualizing numerical results of flow simulations, physical values, such as pressure, velocity, vorticity, are often mapped to color contours. In other words, color corresponds to a physical value. On the other hand, flow features, such as vortex, separation, shock wave, are difficult to visualize with color contours because physical value corresponding to such a feature is not obvious. In this paper, we propose a new visualization method using self-organizing map (SOM) as a trial to visualize a flow feature with color contours. SOM is one of classifiers of machine learning. Once we give physical values of every grid point to the SOM, it classifies the flow features into a square map. We use the map as color map so that the color of a grid point is determined by the location where the SOM fires when giving the physical values of the point to the SOM. Some examples are presented to show validity and usefulness of the present method.
Towards Interpretability and Robustness of Machine Learning Models

Author(s): Chen, Jianbo | Advisor(s): Jordan, Michael I; Wainwright, Martin J | Abstract: Modern machine learning models can be difficult to probe and understand after they have been trained. This is a major problem for the field, with consequences for trustworthiness, diagnostics, debugging, robustness, and a range of other engineering and human interaction issues surrounding the deployment of a model. Another problem of modern machine learning models is their vulnerability to small adversarial perturbations to the input, which incurs a security risk when they are applied to critical areas.In this thesis, we develop systematic and efficient tools for interpreting machine learning models and evaluating their adversarial robustness. Part I focuses on model interpretation. We derive an efficient feature scoring method by exploiting the graph structure in data. We also develop a learning-based method under an information-based framework. As an attempt to leverage prior knowledge about what constitutes a satisfying interpretation in a given domain, we propose a systematic approach to exploiting syntactic constituency structure by leveraging a parse tree for interpretation of models in the setting of linguistic data. Part II focuses on the evaluation of adversarial robustness. We first propose a probabilistic framework for generating adversarial examples on discrete data, and develop two algorithms to implement it. We also introduce a novel attack method in the setting where the attacker has access to model decisions alone. We investigate the robustness of various machine learning models and existing defense mechanisms under the proposed attack method. In Part III, we build a connection between the two fields by developing a method for detecting adversarial examples via tools in model interpretation.
Obstacle simulator using projection mapping for drone collision avoidance

An obstacle video simulator was constructed using projection mapping and a dynamic characteristic model of the obstacle. With this system, while hovering the drone in the laboratory, an experiment was made possible to avoid obstacles by flying up, down, left, and right based on the forward camera image. In this paper, with the ball suspended from the ceiling as an obstacle, we constructed an equation of motion of pendulum moving ball and perspective model that expresses the larger image as the obstacle gets closer to the drone camera. Based on this model, we propose the construction of the video simulator which projects the ball which is the obstacle on the partition located in front of the drone by the projector. Using this system, we compared the trajectory and area of the ball obtained by projecting a pendulous moving ball image onto a partition, and the trajectory and area of the ball obtained by pendulous motion of the actual ball. Based on the comparison results, the effectiveness of this system was confirmed.
Evaluation of Effective Indicators on Promotion of Webometric Rank of Golestan University of Medical Sciences Website

Presence on the Web and the realization of webometric indicators are one of the most important indicators of reflecting the international presence of universities. This study evaluates the content and technical characteristics that influence webometric rankings on Golestan University of Medical Sciences websites. This research is a descriptive practical survey that describes the status of the website based on the content and technical features that influence the promotion of webometric rankings. A total of 53 Golestan University of Medical Sciences websites were included, consisted of 7 college websites, 8 Deputies websites, and 16 websites for hospitals and 22 websites for research centers. Data were collected using checklist. Result shows that 49.46 percent of the expected indicators were met by the units. Colleges with the overall average of 57.64 percent had the highest compliance and the hospitals with 36.72 percent had the lowest compliance with the webometric indexes. The results show that 54.72 percent of the Deputies and 47.73 percent of the research centers have met the indicators. According to the findings, notice to the indicators that less-considered, is necessary for webometric managers and researchers. Also, given that Golestan University of Medical Sciences is the weakest in the Impact Index, considering the number of backlinks identified by search engines is one of the priorities of web infrastructure enhancement programs.
Deteksi Plagiarisme Skripsi Mahasiswa dengan Metode Single-link Clustering dan Jaro-Winkler Distance

Abstract— The rise of plagiarism is one of the negative impacts of the development of information and communication technology. Plagiarism can occur anywhere. One of the examples is a university with the object of plagiarism as a student's final project. So we need a system to detect plagiarism so that it can suppress plagiarism in the college environment. In detecting the similarity of a writing will be faster if the writing has been grouped before compared to each other. Single-link clustering was chosen because it has a simple algorithm and can be implemented without the initial cluster. In plagiarism plagiarism usually changes the sentence structure so that it looks different Jaro-Winkler distance is chosen because it can detect similarities in paragraphs that have been changed in sentence structure because Jaro-Winkler distance has a flexible indexing with theoretical distance so that a word or character is considered the same. The stages in this study include data collection, preprocessing, grouping writing with Single-link clustering, comparing writing with jaro-winkler distance, and testing with precision and recall. After testing, the average value of precision was 84.37% and recall was 84.37% with a level of plagiarism of 99.1%. Keywords—: jaro-winkler distance; plagiarisme; single-link clustering.
Compact NIZKs from Standard Assumptions on Bilinear Maps.

A non-interactive zero-knowledge (NIZK) protocol enables a prover to convince a verifier of the truth of a statement without leaking any other information by sending a single message. The main focus of this work is on exploring short pairing-based NIZKs for all \(\mathbf{NP} \) languages based on standard assumptions. In this regime, the seminal work of Groth, Ostrovsky, and Sahai (J.ACM’12) (GOS-NIZK) is still considered to be the state-of-the-art. Although fairly efficient, one drawback of GOS-NIZK is that the proof size is multiplicative in the circuit size computing the \(\mathbf{NP} \) relation. That is, the proof size grows by \(O(|C|\kappa )\), where C is the circuit for the \(\mathbf{NP} \) relation and \(\kappa \) is the security parameter. By now, there have been numerous follow-up works focusing on shortening the proof size of pairing-based NIZKs, however, thus far, all works come at the cost of relying either on a non-standard knowledge-type assumption or a non-static q-type assumption. Specifically, improving the proof size of the original GOS-NIZK under the same standard assumption has remained as an open problem.
Model-based Asynchronous Hyperparameter Optimization.

We introduce a model-based asynchronous multi-fidelity method for hyperparameter and neural architecture search that combines the strengths of asynchronous Hyperband and Gaussian process-based Bayesian optimization. At the heart of our method is a probabilistic model that can simultaneously reason across hyperparameters and resource levels, and supports decision-making in the presence of pending evaluations. We demonstrate the effectiveness of our method on a wide range of challenging benchmarks, for tabular data, image classification and language modelling, and report substantial speed-ups over current state-of-the-art methods. Our new methods, along with asynchronous baselines, are implemented in a distributed framework which will be open sourced along with this publication.
A CASE STUDY ON THE EFFECTIVENESS OF 1-1 MATHS SUPPORT FOR ENGINEERING STUDENTS MAKING TRANSITIONS INTO HIGHER EDUCATION WITH WEAK KEY MATHS SKILLS

Information about the paper titled "A CASE STUDY ON THE EFFECTIVENESS OF 1-1 MATHS SUPPORT FOR ENGINEERING STUDENTS MAKING TRANSITIONS INTO HIGHER EDUCATION WITH WEAK KEY MATHS SKILLS" at IATED Digital Library
Task-Tuning in Privacy-Preserving Crowdsourcing Platforms

Specialized worker profiles of crowdsourcing platforms may contain a large amount of identifying and possibly sensitive personal information (e.g., personal preferences, skills, available slots, available devices) raising strong privacy concerns. This led to the design of privacy-preserving crowdsourcing platforms, that aim at enabling efficient crowdsourcing processes while providing strong privacy guarantees even when the platform is not fully trusted. We propose a demonstration of the PKD algorithm, a privacy-preserving space partitioning algorithm dedicated to enabling secondary usages of worker profiles within privacy-preserving crowdsourcing platforms by combining differentially private perturbation with additively-homomorphic encryption. The demonstration scenario showcases the PKD algorithm by illustrating its use for enabling requesters tune their tasks according to the actual distribution of worker profiles while providing sound privacy guarantees.
Redacted letters to the other Korea

This forum highlights conversations at the intersection of design methods and social studies of technology. By highlighting a diversity of perspectives on design interventions and programs, we aim to forge new connections between HCI design and communication, science and technology studies, and media studies scholarship. --- Daniela Rosner, Editor
The Construction Method of Interactive Interface of Multimedia Network Teaching Software Based on Mozilla Platform

In the classroom teaching, the original book education can not meet the needs of students for education, so in order to meet the higher requirements of teaching methods, the multimedia network teaching software is widely used, but the existing multimedia network software interface visual accuracy is insufficient, making the interaction is not high. In view of the above problems, this paper proposes a method to construct the interactive interface of multimedia network teaching software based on Mozilla platform. The construction method is divided into three parts: first, the structure and function of Mozilla software development platform are analyzed, and then the interactive interface of multimedia network teaching software is constructed on the platform, including demand analysis, eoneeptual model design, interaction and visual design, operation process design, interaction mode selection, interface implementation, test and evaluation, interface maintenance, etc. FinaUy, the existing and beneficial The visual accuraey was compared and analyzed with the interactive interface of multimedia network software designed by Mozilla platform. The results show that the visual accuracy of the interface of multimedia network software designed by Mozilla platform is better, and the average value is O.9336e, which solves the problem of low interaction.
A Study on Packing Ratio Maximization in Random Particle Packing with Bayesian Optimization

In powder compacting, there is sometimes a demand to maximize the fill ratio. The random particle packing software Meshman_ParticlePacking under development at our company has the ability to achieve high packing ratios of over 60%, but with multiple particle sizes, high packing ratios cannot always be achieved. Now, it has become possible to achieve the high filling rate which could not be achieved conventionally by the method of filling in order from the large particle size. In addition, we searched for a method to efficiently search for the filling rate at or near the maximum with a specified particle size distribution by using Bayesian optimization, which is a type of machine learning, and report the results.
A Study on the Plan for Structuring of a Genuine Copy of 〈Honggyewol-jeon〉

The greatest difficulty of studying the Honggyewol-jeon (a classic novel by an unknown author) study is that a reliable text for researchers to use does not exist. A fundamental reason for this is general unavailability of the original texts. In other words, Honggyewol-jeon is a work based on the prophecy scheme that the prophecy of Gwakdosa and its descriptive realization displays certain flaws and does not accurately correspond to the original. Accordingly, the copy of the original text is totally unsuitable as a study text. Because of this, this paper undertakes to plan for structuring a genuine copy of Honggyewol-jeon to contribute to securing a research text that can be relied on.BR A serious flaw of Honggyewol-jeon is that the original work does not sufficiently express the intent of its author. From the collected copies, the 96-piece edition at Dankuk University that is considered the best reproduction of the original narrative does not draw the ‘Gundam 4’ as the misfortune for the third death in Prophecy 2, does not establish the ‘Preview of Meeting after 3 Years’, and does not prepare the ‘Place of Use for Two Marbles’, suggesting the work is incomplete. Therefore, this paper looks into the plan for structuring a genuine copy to alleviate the clear flaws of the 96-piece edition at Dankuk University, and yet it excludes the arbitrary decision of the writer. Following the plan presented in this paper, once a genuine copy that completely corresponds to the prophecy of Gwakdosa and its descriptive realization is structured, it is expected to raise the level of discussion on Honggyewol-jeon.
An Action Research on the History Curriculum Based on Multicultural Perspective: &lt;Finding the Route of Heo Hwang-ok&gt; Instruction

본 연구의 목적은 교육과정 문해력을 토대로 국가 수준 교육과정의 가야사를 다문화 관점에서 다시 읽고 수업으로 새롭게 구성하여 실행한 후, 이 과정에서 얻은 성찰을 토대로 다문화 관점에서 역사교육의 방향성을 제시하는 것이다. 연구 결과는 다음과 같다. 첫째, <교육과정 다시 읽기> 차원에서 살펴본 현행 가야사교육은 ‘국가로서의 성장’, ‘우리 문화의 우수성’에만 치중하고 있었다. 그리고 ‘허황옥 루트 찾기’는 다문화 역사교육에 좋은 소재가 될 수 있음을 확인하였다. 둘째, <교육과정 다시 쓰기> 차원에서 국가 수준 교육과정의 가야사를 ‘다문화교육’, ‘다문화 역사교육’, ‘역사하기’의 관점에서 다시 구성하여 실행하였다(‘허황옥 루트 찾기’ 수업). 셋째, <성찰하기> 차원에서 얻은 다문화 역사수업 및 역사교육의 방향성을 제시하였다. 결국, 현 시대에 적합한 다문화 역사교육을 위해서는 교사와 학생, 그리고 국가까지 모두 다문화 사회의 진정한 주체로 거듭나야 할 것이다.The purpose of this study is to read the history of Gaya in the national curriculum from a curriculum literacy and multicultural perspective, reorganize and implement the instruction newly, and present directions of history education based on reflection obtained through this process. The results are as follows. First, the current education on the history of Gaya is focused only on ‘growth as a country’and ‘excellence of our culture.’ Also, it was found that <Finding the Route of Heo Hwang-ok> could be the alternative subject material. Second, ‘rewriting’ the history of Gaya could be from the perspective of ‘multicultural education’, ‘multicultural history education’ and ‘doing history.’ As a result, to construct and practice <Finding the Route of Heo Hwang-ok> instruction for Elemetary Student was possible. Third, ‘reflecting’ on it, directions of multicultural history instructions and history education was able to be suggested. In conclusion, teachers, students, and the state all must be reborn as true subjects of a multicultural society for multicultural history education that fits the current era.
Tra focalizzazione e diffusione: Itinerari nella storia linguistica dell'italiano

This paper deals with the concepts of focusing and diffusion and how they interact in the history of a language; whereas the former implies regularity and stability in the use of the code, the latter refers to a situation of great variability . Some defining moments in the history of the Italian language (the Late Middle Ages, the Renaissance and the Unifica- tion of Italy) are here analyzed and discussed in terms of the focusing / diffusion distinction . Moreover, the sociolinguistic situation of contemporary Italian is depicted by fitting these concepts into a Coserian framework, involving such notions as habla (speech), norma (norm) and sistema (system).
DO GRADES DO JUSTICE TO STUDENT’S KNOWLEDGE:

The main focus of the present research is to understand the grading system for student evaluation, its challenges and consequences. Evaluation is an essential part of the educational practice as it provides the outcome of knowledge provided by the teacher. Grading system hides the potential of students with higher percentage. It is not an accurate evaluation of the performance and the knowledge. Should a student’s grade reflect the student’s status in comparison with the rest of the class or should the student’s grades reflect the amount of material learned by the student. The grading system can’t compare the two students having same grades on the basis of their knowledge. In grading system, students value grades more than learning. Grades create an environment that restricts innovation and creativity. The gradings system has both merit and demerits but are more convenient for student. Grading system, only deals with the grades of the student not the knowledge of the student.
Demystifying Bitcoin (Keynote Abstract).

This talk will explain the bitcoin algorithm from the distributed computing perspective, precisely define the underlying double-payment problem, and present a much simpler alternative to solve the problem without relying on consensus and consuming so much energy.Rachid Guerraoui is professor in Computer Science at EPFL where he leads the Distributed Computing Laboratory. He worked in the past with Ecole des Mines de Paris, CEA Saclay, HP Labs in Palo Alto and MIT. He has been elected ACM Fellow and Professor of the College de France. He was awarded a Senior ERC Grant and a Google Focused Award.
REAL – TIME BIOMETRIC AUTHENTICATION BASED ON KEY STROKE DYNAMICS

In this paper we discuss the ability to implement keystroke dynamics in a simple way by taking few, but effective, features and run the authentication session in a real-time manner. MATLAB 2019 is used to implement the keystroke biometrics and 15 people were included in the test aging from 20 to 30 years, and 10 samples are taken from each volunteer to train the Back Propagation Neural Network (BBNN) in order to classify the various entered patterns according to the obtained features. The results are satisfying were the FRR has a value of 27% and FAR is about 18%. This approach, named Simple but Effective (SbE), can be done using non-convenient features which in turn makes it unique, in addition to its simplicity that makes it relatively consumes less resources than previous experiments.
STUDENT RECEPTION OF SHORT STORIES: A CHARACTER RECEPTION STUDY

The problem in this research was the reception of students towards the characters in the short story of Mata yang Enak Dipandang by Ahmad Tohari.  The purpose of this study was to describe the student’s reception of Mata yang Enak Dipandang short story by Ahmad Tohari. This study used a qualitative descriptive study. The results showed that students recept the facts of the story in the short story. The student recepted characters is based on three aspects attached, namely the physical, psychological, and sociological. At the groove reception, overall student claimed that the plot is very nice and very fit so as to make the reader interested and curious to read it. At the background reception, students recept the background of place, time, and social. This study was implicated in the design of learning and teaching materials.