Reviewerly/exHarmony huggingface dataset:
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning

In reinforcement learning, an agent learns to reach a set of goals by means of an external reward signal. In the natural world, intelligent organisms learn from internal drives, bypassing the need for external signals, which is beneficial for a wide range of tasks. Motivated by this observation, we propose to formulate an intrinsic objective as the mutual information between the goal states and the controllable states. This objective encourages the agent to take control of its environment. Subsequently, we derive a surrogate objective of the proposed reward function, which can be optimized efficiently. Lastly, we evaluate the developed framework in different robotic manipulation and navigation tasks and demonstrate the efficacy of our approach. A video showing experimental results is available at https://youtu.be/CT4CKMWBYz0
Towards Tangible Interaction in Scraping Therapy

This work in progress explores tangible interaction in the context of scraping tools commonly used in physical Therapy. Physical therapy is a health profession which uses mechanical force or motion to improve a person's mobility and physical motion. We began with an open-ended research through design process that resulted in a scraping tool that gives the PT feedback on applied force using embedded pressure sensors and an ambient light display. At the conference, we will display a prototype interactive scraping tool and several other design artifacts. We invite participants to use the tool on a human calf simulant made from ballistics gel. We hope our work-in-progress will encourage new work exploring tangible interaction and physical therapy.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SHARE (TPS) DALAM MENINGKATKAN HASIL BELAJAR IPS PADA SISWA KELAS V SD INPRES PUNRANGA KECAMATAN PUJANANTING KABUPATEN BARRU

The purpose of this study was to find out how the application of Think Pair Share (TPS) Cooperative Learning Models and improvement of social studies learning outcomes through Think Pair Share (TPS) type Cooperative learning models for Grade V students of SD Inpres Punranga, Pujananting District, Barru Regency.The approach used in this research is descriptive qualitative approach. The type of research is classroom action research conducted based on the four stages of the research method from Arikunto (2010: 58), namely planning, implementation, observation, and reflection. The research subjects were 22 teachers and fifth grade students of SD Inpres Punranga. The instruments used in this study were observation sheets for teachers and students, learning achievement tests, and documentation. The data analysis technique obtained was analyzed qualitatively descriptive. the results of the study in cycle I reached 72% and in cycle 2 reached 100% showed that the application of the Think Pair Share (TPS) type of cooperative learning model can make a positive contribution in achieving student success and can improve student social studies learning outcomes, both individually and individually classical
Boerhaave, Herman - Biographical entry - Index to the AMA archive

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Penerapan Metode Pembelajaran Sugesti-Imajinasi Untuk Meningkatkan Minat Dan Hasil Belajar Menulis Cerpen Siswa

This study aims to increase the interest and learning outcomes of short story writing students of the IX-B class of SMP Negeri 3 Selat in the first semester of the 2018/2019 academic year. The subjects in this study were students of class IX-B, SMP Negeri 3 Selat, amounting to 31 people, consisting of 13 male students and 18 female students in the first semester of the 2018/2019 academic year. This study uses a class action research design through two stages. Data about students' interest in learning was collected by observation sheets, and short story learning outcomes were collected by the test method. Both types of data are analyzed by quantitative descriptive methods. The results of this study indicate that the application of the Suggestion-Imagination learning method can increase interest in learning and learning outcomes in short story writing for Class IX-B students of SMP Negeri 3 Selat in the first semester of the 2018/2019 academic year. with an average of 65.16 and completeness 51.61% in the first stage, being an average of students' learning interest of 83.55 and a completeness level of 93.55% in the second stage. While student learning outcomes also increased from an average of 68.87 in the first stage and the classical completeness rate of 51.61%, increased to an average of 75.48 in the second stage and a mastery level of 77.42%. Based on these results it is recommended; (1) utilize the Suggestion-Imagination method to increase interest and learning outcomes of short story writing; (2) make the results of this study a consideration in developing learning methods; (4) try this method on other material, or even on other subjects.
Library guides: Research data: Get started

A curated list of external research data repositories, registries and platforms of most relevance to Griffith researchers. Why how & where of finding and using research data
Developing Digital Ecosystem And Digital Marketing On Hajj Web Application Using The Extreme Programming Method

Abstract The internet is a repository for all information and knowledge that can be accessed by all humans using certain devices. With the internet, ways of learning become easier and can produce broad insights. But sometimes to find the information people want to find takes a long time, and also have to compare from one article and another article so that the information generated can be maximized. Lots of information that we can get from the internet, be it information about academics, automotive, vacation tips, and worship. One of them is about Hajj. Indonesia is one of the most migrant pilgrimage countries in the world. Hajj always increases every year. So information about the hajj is important for those who perform hajj or just want to learn it. Lack of preparation can cause difficulties when performing Hajj, therefore a source of information is needed that can answer questions about Hajj. With a website-based application that has many supporting features about Hajj, it can support the spread of information about Hajj and also provides other features that can also be used as a reference when performing Hajj. The method used in this research is to use one of the System Development Life Cycle (SDLC) models, namely Expert Programming. Stages of the method used in accordance with what was done by the author. The stages themselves are Planning, Designing, Encoding, Testing, Listening. All stages are also in accordance with the product to be developed, namely the website application around the pilgrimage where this application will be used by the community. The expected outcome of this research is the development of a digital ecosystem based on a marketing perspective on hajj that is functioning properly and can be used by the public to find information about hajj. And the expected result is that applications that have been made can be further developed by researchers so that the digital ecosystem based on marketing of Hajj can continue to be useful and continue to be developed for the community. Key Word : Digital Ecosystem, Marketing, Hajj, Umrah, SDLC, Extreme Programming.
Dunkley, Charles Roger - Biographical entry - Index to the AMA archive

Dunkley, Charles Roger - Biographical entry - Index to the AMA archive - NAME is a biographical, bibliographical and archival database of SUBJECT with links to related articles and images. ADD MORE DESCRIPTION AS REQUIRED
Лицевые списки Слова Палладия мниха в старообрядческой книжности (новое в изучении иконографии памятника)

This article is dedicated to an iconographic analysis of the miniatures in the medieval Russian literary artefact Sermon of Palladii the Monk. Systematisation of the fundamental pictorial attributes of the manuscript and the use of six different illustrated manuscripts from various collections and archives allows us to identify three stable iconographic editions. Emphasising characteristic peculiarities of the artefact and designating the fundamental features inherent in the development of bibliographic art in different regions can help us to reach a comprehensive evaluation of the arte-fact, its meaning, and the ways in which bibliographic art employed visual expression to emphasise the essentials of the Christian truth.
The Implementation of Video Blogging to Improve English Speaking Skill and English Learning Motivation of Eleventh Grade Students

This research aims to (1) describe the influence of video blogging implementation to improve English speaking skill of eleventh grade students in SMK (Vocational High School) Analis Kesehatan Nasional Surakarta for Academic Year 2019/2020, (2) describe the influence of video blogging implementation to improve English learning motivation of eleventh grade students in SMK (Vocational High School) Analis Kesehatan Nasional Surakarta for Academic Year 2019/2020, and (3) describe the relation of English learning motivation and English speaking skill using video blogging. This research applies descriptive qualitative to present the data which are collected with documentation. The subject of this research is the eleventh grade students in SMK Analis Kesehatan Nasional Surakarta for Academic Year 2019/2020 selected with purposive sampling. The data are video and questionnaire from the eleventh grade students in SMK Analis Kesehatan Nasional Surakarta for Academic Year 2019/2020. From the assessment aspects of English speaking, the highest number of students take the score 4 with 38% students in grammar, 32 % students in vocabularies, 30% students in fluency, and 29% students in comprehension. Meanwhile, in pronunciation aspect, 33% students as the highest percentage acquires score 3. From these percentages, it shows that the implementation of video blogging is successful to increase the English speaking skill for eleventh grade students of SMK Analis Kesehatan Nasional Surakarta. From the English learning motivation questionnaires, 35% students strongly agree and 40% students agree showing the positive influence of video blogging as the media to learn English speaking for eleventh grade students of SMK Analis Kesehatan Nasional Surakarta in academic year 2019/2020. From the relation of English learning motivation and speaking skill, the high motivation of students to learn English produces the high score of English speaking skill for eleventh grade students of SMK Analis Kesehatan Nasional Surakarta in academic year 2019/2020.
Design and development of multi media cards as a motorized vehicle speed data recorders

Abstract The purpose of this study is to design and make a prototype of a motorized vehicle speed data recorder by utilizing MMC (Multi Media Card) as a data recording media so that there will be factual evidence in the form of a motor vehicle track record as long as the vehicle is running. The research method uses the Research and Development (R &amp; D) approach, with stages: hardware design and firmware creation, hardware testing, GUI application creation, GUI application testing, data retrieval testing, and data analysis. The entire system of this tool is controlled by the ATmega328 microcontroller, the RTC module is used to generate timer signals in real time and Infrared Sensors (IR Sensors) as wheel rotation detectors that are used as car speed sensors when driving. Data is recorded in the form of real time speed, accelerator (acceleration) and the distance stored in a Secure Digital Card (SD Card) or MMC (multimedia card) within the specified time interval. The results of hardware testing show that the design works through all the test scenarios performed. GUI applications and firmware are tested by blackbox testing, and show that the system is running smoothly. In addition, testing is also focused on speed data recording segmentation algorithms, with the result that the algorithm can mark the phase of each speed change with 100% accuracy. Product testing with data retrieval is done in 10 (ten) data by comparing the actual distance indicated by the speedometer with the system measurement value. The test results show that the system can accurately estimate activity parameters for each change in speed, with an accuracy rate of 98.91%. In addition, the standard deviation value of 0.02625 km / h indicates that this system is considered consistent in measurement.
A REVIEW PAPER ON SEO FOR RANKING AND EFFECTIVENESS TECHNIQUES IN CONTEXT OF GOOGLE SEARCH ENGINE

In recent era Web Search Engine is very important in day to day life.But now it is quite difficult to get appropriate result in terms of your search query.Due to number of website is quite large so it is quite tough task to give proper result.The aim of this paper is to consider various techniques for SEO Ranking in context to Google Search Engine. It covers on page optimization and off page optimization which is very important factor about Search engine optimization.
Image Steganography Techniques for Optimized Embedding in Image Processing

Steganography is one of the methods used for the hidden exchange of information. It is the art and science of invisible communication, which strives to hide the existence of the communicated message. In this way, if successfully it is achieved, the message does not attract attention from eavesdroppers and attackers. Using steganography, information can be hidden in different embedding mediums, known as carriers. These carriers can be images, audio files, video files, and text files. The focus in this paper is on the use of an image file as a carrier, and hence, the taxonomy of current steganographic techniques for image files has been presented. Images are categorized on the basis of size, texture and types that include only jpeg, bmp and png types to determine their impending impact on steganographic methods. Text data to be embedded is classified and selected of varying capacities and domains to determine best suited data compression mechanisms and steganographic techniques. Our results designate the selection of compression and embedding techniques with respect to types of data.
The Development of Teaching Materials Lecture of Fiction Based Tidayu Culture Integrated Mobile Learning

This research based on students by difficulty in understanding analysis prose in lecture study prose fiction. Learning are now more led to the topic on local wisdom. West kalimantan constituting a province that has many tribes. Three large tribe living in west kalimantan, tionghua, dayak, and melayu. This study focused on tidayu folklore. So learning lecture study prose fiction developed into the development of material lecture prose fiction based tidayu culture integrated mobile learning. Problems in this research is how vaidty, practicality and effectivity whether the use of teaching lecture study prose fiction based tidayu culture integrated mobile learning in learning the prose fiction in STKIP singkawang. The research method used in this research is a research and Development (R&amp;D) method of development with ADDIE research approach. The research period was held from March to July 2019 at the STKIP Singkawang. The test subjects in this study were students of the Bahasa dan Sastra Indonesia study Program of semester III as many as 17 students. Results of the study showed that the teaching materials of prose fiction based Tidayu culture integrated mobile learning in the students of Pendidikan Bahasa dan Sastra Indonesia program study STKIP Singkawang is valid, practical and effective in application on the learning process.&#x0D; &#x0D; Keywords: development, prose fiction, tidayu culture, mobile learning
Subspace Capsule Network

Convolutional neural networks (CNNs) have become a key asset to most of fields in AI. Despite their successful performance, CNNs suffer from a major drawback. They fail to capture the hierarchy of spatial relation among different parts of an entity. As a remedy to this problem, the idea of capsules was proposed by Hinton. In this paper, we propose the SubSpace Capsule Network (SCN) that exploits the idea of capsule networks to model possible variations in the appearance or implicitly defined properties of an entity through a group of capsule subspaces instead of simply grouping neurons to create capsules. A capsule is created by projecting an input feature vector from a lower layer onto the capsule subspace using a learnable transformation. This transformation finds the degree of alignment of the input with the properties modeled by the capsule subspace. We show that SCN is a general capsule network that can successfully be applied to both discriminative and generative models without incurring computational overhead compared to CNN during test time. Effectiveness of SCN is evaluated through a comprehensive set of experiments on supervised image classification, semi-supervised image classification and high-resolution image generation tasks using the generative adversarial network (GAN) framework. SCN significantly improves the performance of the baseline models in all 3 tasks.
Dialogue act annotated spoken corpus GORDAN 1.0 (audio/video)

The GORDAN 1.0 corpus contains authentic data of spoken communication, annotated for dialogue acts. This entry contains the complete audio files of the corpus (seven wav files, 1 hour of recording), and video files (four mp4 video files). Video files are provided only for the recordings where video was available in the original dataset (datasets GOS, Gos Videolectures and BERTA).This resource contains only the recordings of the corpus, while the annotated transcriptions are available at http://hdl.handle.net/11356/1291.
Use of Conventional Machine Learning to Optimize Deep Learning Hyper-parameters for NLP Labeling Tasks

Deep learning delivers good performance in classification tasks, but is suboptimal with small and unbalanced datasets, which are common in many domains.To address this limitation, we use conventional machine learning, i.e., support vector machines (SVM) to tune deep learning hyperparameters.We evaluated our approach using mental health electronic health records in which diagnostic criteria needed to be extracted.A bidirectional Long Short-Term Memory network (BI-LSTM) could not learn the labels for the seven scarcest classes, but saw an increase in performance after training with optimal weights learned from tuning SVMs.With these customized class weights, the F1 scores for rare classes rose from 0 to values ranging from 18% to 57%.Overall, the BI-LSTM with SVM-customized class weights achieved a micro-average of 47.1% for F1 across all classes, an improvement over the regular BI-LSTM's 45.9%.The main contribution lies in avoiding null performance for rare classes.
Cawte, John Ewart - Biographical entry - Index to the AMA archive

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Library guides: Research data: A-Z listing

A curated list of external research data repositories, registries and platforms of most relevance to Griffith researchers. A-Z list of all curated datasets
‘미래교육’에 함축된 ‘교육’ 개념의 해체

The study aims to examine the theoretical foundations that support the concept of ''education'' used in discussions of ''future education''. What is the meaning of used in major articles that have led the future and the appropriateness of the concept of was explored from an analytical perspective. The concept of ''education'' used in ''future education'' is largely based on three main views of education: The conventional, hired-soldiers disciplinary, and result-oriented. The conventional view of equates with schooling. The hired-soldiers disciplinary view of enforces in accordance with the context of external disciplines, not the category of education. The result-oriented view of takes a view to grasp based on functions that affect the outcome of education. Accordingly, the education used in the future has problems referring to classes in schools, extraterrestrial phenomena such as the school system, and the consequences rather than the actual nature of education. This study discussed the possibility of more appropriate communication by reproducing the term ''education'' with respect to ''future education'' in each context.
Analysis of the Teaching Art of Leaving Blank in Chinese Classroom in Middle School

The art of leaving blank originated from the technique of expression in Chinese painting.It has been widely used in literary works, and also creatively used in classroom teaching, such as novels, poems, essays, etc.In terms of fiction, the teaching art of leaving blank in classroom has a positive significance for optimizing classroom structure and improving teaching effectiveness.The use of the teaching art of leaving blank in classroom not only enhances the ability of the teacher to interpret the work, masters the structure and content of the work skillfully, but also improve the students' appreciation level and aesthetic taste, and most importantly, it can stimulate the students' potential creativity.The teaching art of leaving blank in novel teaching has its profound theoretical foundation and a large number of practical cases.It can not only construct vivid characters, taste rich ideological connotations, comprehend profound thematic significance, but also cultivate students' thinking ability, improve their intelligence level and then create a language class which is efficient and vibrant.
Социальная эффективность курса лекций по дисциплине «Коррупция и ее общественная опасность»

The article presents the results of sociological polls showing anti-corruption effectiveness of the optional course of lectures «Corruption and its social danger». Explicit data on the basis of anonymous student surveys show that under the impact of these lectures about one-fifth of the students have changed greatly their attitude towards corruption, and about 40 percent have also demonstrated changes in their attitude at a less pronounced extent.
Palindromic k-Factorization in Pure Linear Time

Given a string $s$ of length $n$ over a general alphabet and an integer $k$, the problem is to decide whether $s$ is a concatenation of $k$ nonempty palindromes. Two previously known solutions for this problem work in time $O(kn)$ and $O(n\log n)$ respectively. Here we settle the complexity of this problem in the word-RAM model, presenting an $O(n)$-time online deciding algorithm. The algorithm simultaneously finds the minimum odd number of factors and the minimum even number of factors in a factorization of a string into nonempty palindromes. We also demonstrate how to get an explicit factorization of $s$ into $k$ palindromes with an $O(n)$-time offline postprocessing.
Edge Matching with Inequalities, Triangles, Unknown Shape, and Two Players

We analyze the computational complexity of several new variants of edge-matching puzzles. First we analyze inequality (instead of equality) constraints between adjacent tiles, proving the problem NP-complete for strict inequalities but polynomial for nonstrict inequalities. Second we analyze three types of triangular edge matching, of which one is polynomial and the other two are NP-complete; all three are #P-complete. Third we analyze the case where no target shape is specified, and we merely want to place the (square) tiles so that edges match (exactly); this problem is NP-complete. Fourth we consider four 2-player games based on $1 \times n$ edge matching, all four of which are PSPACE-complete. Most of our NP-hardness reductions are parsimonious, newly proving #P and ASP-completeness for, e.g., $1 \times n$ edge matching.