Reviewerly/exHarmony huggingface dataset:
AN EVALUATION OF TASK-BASED APPROACH TO DEVELOP ORAL SKILL

Speaking skill is considered one of the most important factors when learning a language. To improve the effectiveness of speaking, task-based approach can encourage students to work in pairs or groups. This study aims at evaluating task-based approach elements in the course book Market Leader, the third edition and examining the improvement of students’ oral skill. The study explores the listening, discussion, and business skill from unit 1 to unit 6 in the book Market Leader Advanced (3 rd edition). This research aims to evaluate task-based approach to improve students’ oral skill. Firstly, it investigates the students’ attitudes toward task-based approach. The thesis involves 100 students from k55 students of Foreign Languages Department at Vinh University. The data are collected by questionnaires, classroom observation, and interview and then statistically analyzed by tables and charts. Secondly, the evaluation of task-based content for oral skill is analysed in terms of goals, procedures, implementation, grading, and assessment. Next, the assessment is also given to improve students’ speaking ability. The findings show that most students are in favour of task-based approach for communication. The communication tasks in the book Market Leader, the third edition are relevant to students’ level and practical context.
Monitoring a free-space quantum communication channel using machine learning techniques

Free-space quantum communication faces challenges related to losses in the transmission channel. Machine learning is resourceful for monitoring these channels. Here, supervised learning was used to predict the atmospheric strength of the channel.
Explaining intuitive difficulty judgments by modeling physical effort and risk.

The ability to estimate task difficulty is critical for many real-world decisions such as setting appropriate goals for ourselves or appreciating others' accomplishments. Here we give a computational account of how humans judge the difficulty of a range of physical construction tasks (e.g., moving 10 loose blocks from their initial configuration to their target configuration, such as a vertical tower) by quantifying two key factors that influence construction difficulty: physical effort and physical risk. Physical effort captures the minimal work needed to transport all objects to their final positions, and is computed using a hybrid task-and-motion planner. Physical risk corresponds to stability of the structure, and is computed using noisy physics simulations to capture the costs for precision (e.g., attention, coordination, fine motor movements) required for success. We show that the full effort-risk model captures human estimates of difficulty and construction time better than either component alone.
Towards Machine Comprehension of Arabic Text

Machine Comprehension (MC) is a novel task of question answering (QA) discipline. MC tests the ability of the machine to read a text and comprehend its meaning. Deep learning in MC manages to build an end-to-end paradigm based on new neural networks to directly compute the deep semantic matching among question, answers, and the corresponding passage. Deep learning gives state-of-the-art performance results for English MC. The MC problem has not been addressed yet for the Arabic language due to the lack of Arabic MC datasets. This paper presents the first Arabic MC dataset that results from the translation of the SQuAD v1.1 dataset and applying a proposed approach that combines partial translation post-editing and semi-supervised learning. We intend to make this dataset publicly available for the research community. Furthermore, we use the resultant dataset to build an end-to-end deep learning Arabic MC models, which showed promising results.
THE EFFECTIVENESS OF SHORT MOVIES IN TEACHING SPEAKING TO STUDENTS OF THE EIGHTH GRADE OF SMPN 1 BANJARMASIN

This research is aimed to find out whether there is any effectiveness or not of short movies for students’ speaking achievement of eighth-grade students at SMPN 1 Banjarmasin. This experimental research was conducted in the eighth grade of SMPN 1 Banjarmasin in the academic year 2017/2018. From eight classes, the researcher implemented purposive sampling to take two classes as the samples, VIII-G as the experimental class which was taught by using short movies and VIII-H as the control class which was taught by using picture series. The data were analyzed by interpreting and counting students’ pretest and post-test. The result shows that the average score of pretest in experimental class was 59.56 and the average score of post-test was 83.68. the T-Test result shows the significance level was 0.00 or < p = 0.05. It means the null hypothesis (Ho) was rejected. In conclusion, there was a significant influence on students’ speaking achievement by using short movies to students of the eighth grade of SMPN 1 Banjarmasin. Based on the results, the other English teacher is suggested to use short movies as the media in teaching, especially in teaching speaking.
Image Inpainting of Patch Matching with Boundary and Region Constraints

Image inpainting aims to fill missing regions or damaged regions. The inpainting results need to meet human visual consistency. Patch matching technique is often applied to search similar patch for fill missing parts. However, only using the distance between pixels cannot guarantee to find the best similar patch. In our paper, we proposed a novel patch matching technique which adopts region and boundary constraints. There are two advantages: (1) boundary constraint can alleviate blockiness or strong discontinuities; and (2) region constraint is more conducive to finding similar patches. By weighting the distance between two patches to constrain the matching block. Using exemplar-based technique proposed by Criminisi et al., we demonstrate the validity of our block match.
Implementasi K13 Menuju Pembelajaran Abad 21 Untuk Penguatan Literasi Membaca Pada Siswa Kelas Tinggi Di SD Negeri 1 Kebonbimo

This study aims to describe: 1) Fighting in the Implementation of K13 for Improving Literacy Readings for high-class students at SD Negeri 1 Kebonbimo; 2) solutions in overcoming challenges to the implementation of K13 for strengthening reading literacy in high-class students at Kebonbimo 1 Public Elementary School. The type of research in this study uses descriptive qualitative research. The technique of collecting data is done through interviews, and is supported by the collection of license agreements. The validity of the data uses source and methode triangulation. Data analysis techniques are carried out starting from interactive models by reducing, displaying data, and verifying / concluding. The results of the study show that: 1) coordination that supports the Kebonbimo Elementary School 1 in the implementation of the 2013 curriculum for strengthening reading literacy in students is the low reading culture in children and the teacher does not provide examples of reading habits. Efforts made in overcoming the implementation of K13 for strengthening reading literacy in high school students at Kebonbimo Elementary School 1 support the improvement of facilities and infrastructure to support reading literacy which contains a library2with a variety of books equipped with students who are interested in reading new books every day and sharing reading material with colleagues.
Multi-aspect Evaluation Method for Digital Pointing Devices

For decades the computer mouse has been used as the most common input device for laptops and computers alike. However for speeches a presentation remote with a laser pointer was used because they allowed the presenter more freedom. With the emergence of small and lightweight inertial sensors, a new type of presentation remotes becomes popular. These remotes use inertial sensors to move a digital pointer allowing presenters to show things on more than one screen or use enhancement methods like highlighting a region. Using inertial sensors however proves to be a difficult task and can lead to problems with the usability of such devices. When developing such systems, the designer faces the problem that no method for quantifying the usability of pointing devices based on inertial sensors is available. In the paper at hand, we propose an evaluation method consisting of three different tests to assess the manageability, speed and precision of digital pointing devices for a measurable comparison. Additionally, we conducted an evaluation to show that our tests reflect the subjective assessment from the users. Our quantitative test results showed a strong correlation to the qualitative subjective assessment from the users.
Knowledge Discovery from Log Data Analysis in a Multi-source Search System based on Deep Cleaning

In a multi-source search system, understanding users’ interests and behaviour is essential to improve the search and adapt the results according to each user profile. The interesting information characterizing the users can be hidden in large log files, whereas it must be discovered, extracted and analyzed to build an accurate user profile. This paper presents an approach which analyzes the log data of a multi-source search system using the web usage mining techniques. The aim is to capture, model and analyze the behavioural patterns and profiles of users interacting with this system. The proposed approach consists of two major steps, the first step “pre-processing” eliminates the unwanted data from log files based on predefined cleaning rules, and the second step “processing” extracts useful data on user’s previous queries. In addition to the conventional cleaning process that removes irrelevant data from the log file, such as access of multimedia files, error codes and accesses of Web robots, deep cleaning is proposed, which analyzes the queries structure of different sources to further eliminate unwanted data. This allows to accelerate the processing phase. The generated data can be used for personalizing user-system interaction, information filtering and recommending appropriate sources for the needs of each user.
Effects of Resource Materials on Implementation of Life Skills Education Programme in Manzini Region High Schools of Eswatini

The purpose of the study was to investigate the effects of resource materials on implementation of Life Skills Education programme in high schools in the Manzini region of Eswatini.The study was undertaken in four high schools in the Manzini region.This study was guided by Micheal Fullan's Educational Change Model.The purposively sampled participants consisted of head teachers and teachers.A qualitative approach and a case study design were used for the study.The head teachers were interviewed using a semi-structured interview schedule.Teachers were engaged in focus group discussions.Observations were done for all participants.Data was analysed using a thematic analysis approach.The findings revealed a myriad of factors that negatively affected the implementation of life skills.The factors included lack of adequate preparation of teachers and inadequate teaching/learning resource materials.The study also recommended that curriculum designers and Government should design and provide adequate support materials to teachers.
A New Shoulder Surfing and Mobile Key-Logging Resistant Graphical Password Scheme for Smart-Held Devices

In globalization of information, internet has played a vital role by providing an easy and fast access of information and systems to remote users.However, with ease for authentic users, it has made information resources accessible to unauthorized users too.To authorize legitimate user for the access of information and systems, authentication mechanisms are applied.Many users use their credentials or private information at public places to access their accounts that are protected by passwords.These passwords are usually text-based passwords and their security and effectiveness can be compromised.An attacker can steal text-based passwords using different techniques like shoulder surfing and various key logger software, that are freely available over internet.To improve the security, numerous sophisticated and secure authentication systems have been proposed that employ various biometric authentication systems, token-based authentication system etc.But these solutions providing such high-level security, require special modification in the design and hence, imply additional cost.Textual passwords that are easy to use but vulnerable to attacks like shoulder surfing, various image based, and textual graphical password schemes are proposed.However, none of the existing textual graphical passwords are resistant to shoulder surfing and more importantly to mobile key-logging.In this paper, an improved and robust textual graphical password scheme is proposed that uses sectors and colors and introducing randomization as the primary function for the character display and selection.This property makes the proposed scheme resistant to shoulder surfing and more importantly to mobile key-logging.It can be useful for authentication process of any smart held device application.
Возможности сетевого сообщества в ходе преподавания дисциплин педагогического цикла

In modern society, the role of network communities as a means of communication, interactive interaction of the educational process, the organization of text material. Using the potential of the network community in the course of teaching disciplines of the pedagogical cycle will have a positive impact on the development of students ' ideas about teaching activities, reality, mastering their professionally significant competencies. The article gives a theoretical understanding of the basics of the network community and its organization, analyzes the possibility of using the community in the development of the disciplines of the pedagogical cycle, examines the conditions of selection and mechanisms of structuring of educational materials, ways to attract attention to the community, especially its design, highlights the experience in the network community for modeling training courses in different subjects of the pedagogical cycle.In modern society, the role of network communities as a means of communication, interactive interaction of the educational process, the organization of text material. Using the potential of the network community in the course of teaching disciplines of the pedagogical cycle will have a positive impact on the development of students ' ideas about teaching activities, reality, mastering their professionally significant competencies. The article gives a theoretical understanding of the basics of the network community and its organization, analyzes the possibility of using the community in the development of the disciplines of the pedagogical cycle, examines the conditions of selection and mechanisms of structuring of educational materials, ways to attract attention to the community, especially its design, highlights the experience in the network community for modeling training courses in different subjects of the pedagogical cycle.
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code.

All major web browsers now support WebAssembly, a low-level bytecode intended to serve as a compilation target for code written in languages like C and C++. A key goal of WebAssembly is performance parity with native code; previous work reports near parity, with many applications compiled to WebAssembly running on average 10% slower than native code. However, this evaluation was limited to a suite of scientific kernels, each consisting of roughly 100 lines of code. Running more substantial applications was not possible because compiling code to WebAssembly is only part of the puzzle: standard Unix APIs are not available in the web browser environment. To address this challenge, we build Browsix-Wasm, a significant extension to Browsix that, for the first time, makes it possible to run unmodified WebAssembly-compiled Unix applications directly inside the browser. We then use Browsix-Wasm to conduct the first large-scale evaluation of the performance of WebAssembly vs. native. Across the SPEC CPU suite of benchmarks, we find a substantial performance gap: applications compiled to WebAssembly run slower by an average of 45% (Firefox) to 55% (Chrome), with peak slowdowns of 2.08x (Firefox) and 2.5x (Chrome). We identify the causes of this performance degradation, some of which are due to missing optimizations and code generation issues, while others are inherent to the WebAssembly platform.
Penerapan Fuzzy Mamdani Dengan Particle Swarm Optimization (PSO) Pada Penilaian Kinerja Dosen (Studi Kasus STMIK Kaputama)

Abstract-- The use of technology at this time is very developed along with the development of the times, so there are still many young people who need to get proper teaching. The lessons can be obtained from what parents have taught in the home environment and lecturers at the College. Regardless of the responsibilities of parents at home, we as young people are also obliged to study in school to college to achieve our goals. There are many bona fide universities and even the tuition fees vary, but universities that have expensive fees cannot be used as a benchmark that the university is competent, both from the teaching staff and academic regulations in the college. A competent university is a university that has competent teaching staff. In the Teaching and Learning Process at Higher Education, lecturers have an important role in the success of students in mastering the material given. STMIK Kaputama evaluates the performance of lecturers through 3 (three) variables, namely: Material Variables, Discipline Variables and Attitude Variables. With parameter values: Very Low (SR), Low (R), Enough (C), Good (B) and Very Good (SB), from the parameters the results of the Lecturer Performance Assessment will be known. Then it is necessary to build an application to assess the performance of lecturers using Fuzzy Mamdani with Particle Swarm Optimization (PSO), so that the assessment of Lecturer Performance can be assessed quickly. Keywords : Lecturer Performance, Fuzzy Mamdani, PSO
Deep Learning Analysis for Big Remote Sensing Image Classification

Large data remote sensing has various special characteristics, including multi-source, multi-scale, large scale, dynamic and non-linear characteristics. Data set collections are so large and complex that it becomes difficult to process them using available database management tools or traditional data processing applications. In addition, traditional data processing techniques have different limitations in processing massive volumes of data, as the analysis of large data requires sophisticated algorithms based on machine learning and deep learning techniques to process the data in real time with great accuracy and efficiency. Therefore Deep learning methods are used in various domains such as speech recognition, image classifications, and learning methods in language processing. However, recent researches merged different deep learning techniques with hybrid learning-training mechanisms and processing data with high speed. In this paper we propose a hybrid approach for RS image classification combining a deep learning algorithm and an explanatory classification algorithm. We show how deep learning techniques can benefit to Big remote sensing. Through deep learning we seek to extract relevant features from images via a DL architecture. Then these characteristics are the entry points for the MLlib classification algorithm to understand the correlations that may exist between characteristics and classes. This architecture combines Spark RDD image coding to consider image’s local regions, pre-trained Vggnet and U-net for image segmentation and spark Machine Learning like random Forest and KNN to achieve labeling task.
IMPROVING THE STUDENTS ENGLISH VOCABULARY BY USING THE CROSSWORD MEDIA AT GRADE X OF SMA SWASTA TAMANSISWA KISARAN IN ACADEMIC YEAR OF 2016/2017

The objective of the study is intended to describe the implementation of crossword e method in improving the English vocabulary at grade X student of SMA Swasta Tamansiswa Kisaran in Academic Year of 2016/2017. this study is classroom action research. The subject of this study is the grade X students of SMA Swasta Tamansiswa Kisaran. There are 18 male students and 22 female students in that class. The conclusions of the study are (1) the implementation of the first cycle lasts well but is less conducive. The average results value of 71 with learning completeness reached 73.30% or as many as 27 students, and the remaining 13 persons or 26.70% did not pass the study, (2) The implementation of the second cycle lasts good and conducive. The average results value of 79 with learning completeness reached 90% or as much as 37 students, while students who do not pass the study is 10% or as much as 3 students. Thus, activity on the second cycle need not be repeated because it exceeds the specified indicators of success that is as much as 85% of students scored ≥ 65, and (3) By using crossword puzzle method especially on vocabularies, learning results in grade X SMA Tamansiswa Kisaran  can be improved. Key words: Improving , English Vocabularies , The Crossword Media
Meaningful Ideas Of The Collective Upbringing Theory For The Social Education

The article presents various ideas of the theory of collective education within the context of the enforcement of the educational components of the Federal State Educational Standards for Educational Organizations, marks directions and mechanisms of implementation of programs of social education (upbringing) and socialization of modern students. Individual issues of the study were as follows. The current concepts contextually equal to theory of collective education: team, social group, etc. It is necessary to clarify the educational potential of various childrens communities and social groups, which can occur in formations of traditional species and new type of communities and forms emerging in the modern conditions. The article presents various ideas of the theory of collective education in the context of the implementation of the educational components of Federal Educational Standards and its marked directions and mechanisms of efficient use in the practice of education and socialization of modern schoolchildren. Individual issues of the study there were: current concepts of the theory of collective education: close team, social group, etc., especially the potential of child-adult community in the upbringing and development of the personality of the modern schoolchild, his values of self-determination and social self-actualization. Directions and expertise contact activities with the school administration in the framework of the implementation of the program of education and socialization of the Federal State Educational Standards for Educational Organizations.
Sistem Pendukung Keputusan untuk Seleksi Penerima Beasiswa di Fakultas Teknik Universitas Mataram.

Scholarships are one of the important components in the education system which aims to provide motivation for students to continue their studies and improve achievement. At present the selection of scholarship admissions in the technical faculty of the University of Mataram still uses manual methods. Information system selection scholarship selection aims so that the selection process for receiving scholarships can be stored neatly and effectively. The application of the scholarship recipient selection process through a computerized system will improve the accuracy of the recipient in accordance with the targets or criteria set. The system is based on applicable rules or criteria. The results of the study can be useful to assist the selection process for receiving scholarships. This scholarship recipient information system has a 62% accuracy rate in the selection process in 150 student data.