Reviewerly/exHarmony huggingface dataset:
Controllable Variational Autoencoder

Variational Autoencoders (VAE) and their variants have been widely used in a variety of applications, such as dialog generation, image generation and disentangled representation learning. However, the existing VAE models have some limitations in different applications. For example, a VAE easily suffers from KL vanishing in language modeling and low reconstruction quality for disentangling. To address these issues, we propose a novel controllable variational autoencoder framework, ControlVAE, that combines a controller, inspired by automatic control theory, with the basic VAE to improve the performance of resulting generative models. Specifically, we design a new non-linear PI controller, a variant of the proportional-integral-derivative (PID) control, to automatically tune the hyperparameter (weight) added in the VAE objective using the output KL-divergence as feedback during model training. The framework is evaluated using three applications; namely, language modeling, disentangled representation learning, and image generation. The results show that ControlVAE can achieve better disentangling and reconstruction quality than the existing methods. For language modelling, it not only averts the KL-vanishing, but also improves the diversity of generated text. Finally, we also demonstrate that ControlVAE improves the reconstruction quality of generated images compared to the original VAE.
A Fast and Accurate Object Detection Algorithm on Humanoid Marathon Robot

This paper introduces a fast and accurate object detection algorithm based on a convolutional neural network for humanoid marathon robot applications. The algorithm is capable of operating on a low-performance CPU without relying on the GPU or hardware accelerator. A new region proposal algorithm, based on color segmentation, is proposed to extract a region containing a potential object. As a classifier, the convolution neural network is used to predict object classes from the proposed region. In the training phase, the classifier is trained with an Adam optimizer to minimize the loss function, using datasets collected from humanoid marathon competitions and diversified using image augmentation. An NVIDIA GTX 1070 training machine, with 500 batch images per epoch and a learning rate of 0.001, required 12 seconds to minimize the loss value below 0.0374. In the accuracy evaluation, the proposed method successfully recognizes and localizes three classes of marker with a training accuracy of 99.929%, validation accuracy of 99.924%, and test accuracy of 98.821%. As a real-time benchmark, the algorithm achieves 41.13 FPS while running on a robot computer with Intel i3-5010U CPU @ 2.10GHz.
Pengembangan Literasi Berbasis Kampung Pada Masyarakat Desa Bontobangun

Bontobangun Village is one of the villages in Bulukumba district, had several work programs developed to improve the quality of human resources, village development and to help government programs on a global scale. One of the programs they are working on is building a literacy spirit in the Bontobangun village community. The local government also has plans to create a place for developing village literacy such as reading park. However, the village govermment is still constrained by the problem of the concept of making a reading park, and funds to collect books to be stored in this reading park. In additional, the local government is also constrained by the lack of creative and innovative approaches to socializing this program and the lack of human resources who can manage the program so that it can be heard in the ears of the local community. So through all of the programs that are presented by KKN-PPM Muhammadiyah Universiy of Makasaar students by carring out the concept of village based literacy development, there are several work programs including one book one person movement aimed at helping the village government hold books for reading park collections originating from community donations, making reading park, literacy themed competitions for junior high school students, learning weeks activities for Bontobangun’s village children. These activities are expected to be the first solution to help the local government in realizing literacy awareness in Bontobangun village community. The implementation of this activity uses maximum of 2 months. Items of village based literacy development activities are sustainable will be submitted to village that have been formed to be followed up. While the activity in the form of learning weeks, competitions and the other activities are expected to be used as sample to organize more creative and innovative activities and can process on develop village literacy program in the future.
Development of Android based Crop Advisory Application for Seed Spices

Agriculture is one of the significant contributors to the Indian economy.Growing a good crop depends on multiple factors like soil condition, climatic condition, rainfall, selection of good variety etc. and selection of crop plays a very important role in getting a good return.India has a unique position as a major supplier of seed spices in the international trade.Some major seed spices are Cumin, Coriander, Fennel and Fenugreek and minor seed spices are Ajwain, Nigella, Aniseed, Dill, Caraway, and Celery.There are a number of mobile apps developed for various agricultural issues, still, there is a need for an application that can guide a farmer as a crop advisor.A farmer is always in a dilemma about which crop to grow.In this article, we present a mobile application named SSADV, i.e., seed spices crop advisory, developed on Android Studio 2.3.x and the minimum requirement for the app is a device running on API 15: Android 4.0.3(Ice Cream Sandwich). K e y w o r d s
Mastering Compound Word for Teachers and Learners of English

-- This study focuses on compound word and its need to be mastered by teachers and English learners. There are new words coming up almost every day. Most of them are by combining of two different words, blending and many other morphological phenomena. It is commonly known as word-formation. The discussion covers on word-formation specifically on the types of compound word and its meaning. A new word is formed from the same or different word classes. This word formation must be mastered by the English teachers and also the learners of English. The Semantic theory is used just to study the meaning of the word not the sentence. This research uses descriptive qualitative method . The data were taken from The Time of the Oath Album By Helloween . The results show that t here are three types compound words found. Compound Noun is the most dominant followed by Adjective and Verb. The Endocentric Compound is the most productive compound in meaning. Keywords: Compound, Endocentric, Lyrics, Morphology, Word-formation
Project Training as the Basis for the Formation of Entrepreneurial Competencies

For the effective training of highly qualified specialists in any field of professional activity, it is necessary to develop entrepreneurial competencies.The article discusses the formation of entrepreneurial competencies among students of Kazan State Power Engineering University (KSEU) and presents the requirements of employers for future power engineers: basic technical education, a portfolio of achievements in educational activities, intellectual potential, experience in project activities, and entrepreneurial competencies.The definitions of project training and its implementation in the university are given on the example of the work of the student business incubator and the youth innovation center of KSEU.It is shown that the implementation of the project involves the use of innovative teaching methods and means, as well as the ability to apply knowledge from various fields of science, engineering, technology, economics and management.
Rating Of The Relationship Between Users Using The Data From The Implemented Mobile Forensic Software

ÖzDuring the digital forensic process, different software and hardware tools are used.The devices from which the digital evidences are collected have been varied in parallel with the developments in technology.The issue of identifying the mobile phone owner's friends and assessing his relationship with them with the help of digital evidences collected from the Android mobile phones has been studied in the literature and it is still under investigation.The software developed in this work enables accessing a variety of data that have evidential value in the court proceedings; these include physical and logical acquisition of images from mobile phones with Android operating system, extracting images for investigations, examining different file types in images, and databases.This software can collect and examine the evidences and then produce reports.At the same time, it can identify criminals or people with potentially have connections to those people whose accounts are under investigations by using developed analysis model which examines the relationships between social media applications` data, phone contacts and calling histories collected from the mobile devices.In this work, the evidences examined by using a novel software developed by the authors which performs multiple tasks using a single interface and the corresponding results are presented.Adli bilişim sürecinde çok çeşitli yazılımlar ve donanımlar kullanılmaktadır.Teknolojinin hızlı gelişimine paralel olarak dijital delillerin toplandığı cihazlar da hızla çeşitlenmektedir.Android mobil telefonlardan toplanan dijital deliller yardımı ile bu telefona sahip kişinin arkadaşlarının ve bu arkadaşları ile ilişkilerinin derecelendirilerek tespit edilmesi,
Culturicon Design Model for Social Mobile Application

The usage of emoticon in computer-mediated communication has been growing rapidly among users, especially in social media. Emoticon has been used to express feelings, emotions, gestures, actions and places. Despite the growing number of emoticon users around the world, study on the cultural elements of the emoticon is still lacking. This research aims to propose a model for the development of Culturicon, which is Cultural-Based Emoticon. In doing so, a verification process must be done to the proposed model to ensure that the model is well verified. Expert review method was used for the verification method. Experts from the field of Human-Computer Interaction, User Experience and cultural study especially the academicians were chosen. In addition, application developer and graphic designer also were chosen as expert from the industry. The experts were approached by email and performed the verification by answering online questionnaire provided. The result obtained from these experts were analyzed and amendment were made based from the comments and suggestions. Results showed that 91% experts agreed the connections and flows of all components in the proposed model are logical and readable. Expert verification is important to ensure that the model is being develop correctly. By having this model, it can aid designer and developer in designing meaningful and effective Culturicon.
PERBANDINGAN NILAI KORELASI PADA KANONIK ROBUST (METODE MINIMUM COVARIANCE DETERMINANT) DAN KANONIK KLASIK (Studi Kasus Data Struktur Ekonomi dan Kesejahteraan Rakyat di Jawa Barat 2016)

Canonical correlation analysis is a multivariate statistical analysis that aims to examine the correlation between two groups of variabels in a way to maximize the value of correlation between variabels. The outlier in the data affect the covariance matrix is generated, So that use robust multivarat. There is robust multivariate approach to the analysis of canonical robust with MCD method (Minimum Covariance Determinant). This final project aims to determine comparison between correlation value of robust canonical with MCD and canonical classical methods. With a data theres containing of outliers in the case studies of people's welfare and economic structures in West Java in 2016. Used a set of variabels welfare of people consist of 6 variabel (Y) and a set of variabels economic structure which consists of four variabels (X). Based on the analysis results obtained that robust canonical correlation values better explain the correlation between two sets of variabels, the correlation value 0.99552, =0.91228, =0.71529, =0.63174, While the correlation value on classical canonical are 0.931489, 0.538672, 0.387099, 0.259318, Canonical robust can be interpreted more because it meets the test of significance are partially and directly, while the classical canon can not be interpreted further because it does not meet the test of the significance of the function. Keywords : Classical canonical correlation, canonical correlation robust correlation value, Minimum Covariance Determinant (MCD)
The Conception of Stock Price Volatility Analysis System Based on News Events

News events are one of the factors influencing stock price fluctuations.The analysis system proposed in this paper quantifies the influence of historical news events into "limitation period" and "stock price fluctuation range", predicts the possible impact of real-time news events on stock price, and gives the limitation period and stock price fluctuation range.Keyword factors are used to link historical news events with real-time news events.
Peningkatan Minat Baca Masyarakat Melalui Wisata Leterasi

The purpose of this community service is to increase children's interest in reading. Nowadays, children have been busy with their gadgets and tend to have low literacy. The basic problem is the dominance of gadgets in the daily lives of children in Pondok Rejo Asri Housing in addition to the low literacy culture. The solutions offered are socialization, training, practice, mentoring and the establishment of a reading park so that children have higher linguistic intelligence and have a passion for better reading and writing. Reading, which has been assumed to be boring, will change its paradigm with something unique and interesting. Literacy activities to foster children's reading interest in this service are carried out in several stages, namely: outbound, socialization, talk shows with young writers, magic clowns and outbound literacy. The last is to establish a children's reading park: "Peluk Buku”.
ARCHITECTONICS OF THE VESSELS SUPPLYING AUTOGRAFT OF THE LONG TOE, AND OPTIONS FOR THEIR “CONNECTION” TO THE RECIPIENT VESSELS WHEN TRANSPLANTED TO THE HAND IN CHILDREN

The aim of the study was to show the significance of investigating the microvascular structure of the donor and recipient regions for successful microsurgical autotransplantation of toes in children. Materials and methods.From 2000 to 2018, 541 children aged from 8 months to 17 years with congenital and acquired pathology of the upper limb were examined and treated at the RCOI [Research Children's Orthopaedic Institute] n.a.G.I. Turner.A total of 696 autografts were transpositioned. Results.Based on the data of this study, we revealed that the graft of the long toe can be supplied from the system of both the anterior tibial artery, and posterior tibial artery.If the dorsal artery of foot is preserved in the distal direction, the sources of blood supply to the long and third toes may be the dorsal and plantar metatarsal arteries.In cases where the dorsal artery of foot and dorsal metatarsal artery 1 were well developed, different combinations of the finger supplying arteries were noted.When the dorsal metatarsal artery was absent or severely hypoplastic, the autograft was isolated on the plantar metatarsal arteries.The main parameters determining the source of blood supply to the graft were adequate diameter and high blood flow intensity.During the study, we found that in the case of blood supply to the graft from the anterior tibial artery (79%), a well-developed dorsal metatarsal artery was determined in 68%, while in 32% of cases the blood supply to the graft was performed only through the plantar metatarsal arteries. Conclusions.The technique of surgical isolation of the toe autografts remains unchanged and does not depend on the options of angioarchitectonics of the donor region.The survival of the transpositioned microvascular autograft depends on the quality of vessel mobilisation in the donor region and preparation the vessels in the recipient region.
UPAYA GURU DALAM MENINGKATKAN MOTIVASI SISWA PADA PEMBELAJARAN BAHASA INGGRIS DI MADRASAH IBTIDAIYAH AL KHAIRIYAH BANJARBARU

This study discusses the efforts of teachers in increasing student motivation in learning English in Madrasah Ibtidaiyah Al Khairiyah Banjarbaru. The purpose of this study was to determine how the teacher's efforts to improve student motivation in learning English in Madrasah Ibtidaiyah Al Khairiyah Banjarbaru and what are the factors that influence it. The type of research the author does is the type of field research (field research) using a qualitative approach. For data mining, the writer uses observation, interview, and documentation techniques. While the data processing technique is done by editing, data classification, and data interpretation. Subsequently analyzed descriptively qualitatively and concluding by inductive. The results showed that the teacher's efforts in increasing student motivation in learning English in the Al Khairiyah Ibtidaiyah Madrasah were quite good. Student motivation in learning English can be influenced by several factors, namely the level of student awareness of the need to learn English, the teacher's attitude toward class, the influence of student groups, class atmosphere, and the completeness of learning support facilities.&#x0D; &#x0D; Keywords: Teacher Efforts, Learning Motivation, Madrasa Students, English.
Application of Repeated Average Method on Generalized Fuzzy Soft Matrix for Decision Making

Molodtsov introduced the theory of soft sets, which can be seen as a new mathematical approach to vagueness. Maji and his associates have further initiated several basic notions of soft set theory. They have also introduced the concept of fuzzy soft set, a more generalized concept, which is a combination of fuzzy set and soft set. In this paper, Repeated Average Method has been used in Generalized Fuzzy Soft Matrix for prompt decision making.&#x0D; Asiat. Soc. Bangladesh, Sci. 45(2): 249-259, December 2019
ENGLISH TEACHER PERSPECTIVE ON LEARNING ENGLISH AT SMA KARTIKA VIII-1 SOUTH JAKARTA

The objective of this study is to describe the perspective of English teachers about the 2013 curriculum, the implementation of English learning, the expectations of English teachers about the learning English. This research has been conducted at SMA Kartika VIII-1 Srengseng Sawah Jakarta Selatan It was a qualitative research that the researcher described the phenomenon happened and analysis it. The data was obtained by observation and interview. There are some steps as follow; First, Observation. It was done when the English teacher teach to the students; Second, Interview. It was taken when the English teacher taking a rest. The result of this research as follow: 1. The English teachers perspective about the concept of 2013 curriculum are positive; 2. The English teachers perspective about the implementation of learning English based on the 2013 curriculum was not maximal because there is no correspondence between the hours only 2 hours and the material taught by the English teacher; 3. English teachers expectation of learning English that is a change from 2 hours a week to 4 hours in a week.
An analysis of the third year english students` ability of fkip bung hatta university to write A cause and effect essay

This research has attempted to describe the ability of the third year English students` ability of FKIP Bung Hatta University to write a cause and effect essay. The design of this research was descriptive. The numbers of population of this research were 122 students. The writer used cluster random sampling technique to determine the sample since the students were separated into four classes (A, B, C, and D). The writer chose one class as a sample of this research. Class B was decided to be the sample of this research. The numbers of this class were 20 students. The writer used writing essay test to collect data. Generally, the result of data analyzing the data showed that the ability of FKIP Bung Hatta University of the third year English students to write a cause and effect essay was moderate. It could be seen that 20% students had high ability, 70% had moderate ability, and 10% had low ability. Finally, based on the result above, the writer suggests the teachers to give more knowledge, explanation, practice in order to help students to improve their ability to write cause and effect essay. And students should do a lot of practices in order to improve their ability to write cause and effect essay.
Research on the convergence design of persuasive technology and elementary school educational App

Educational Apps have been widely used by elementary school students, but the design of them needs to be improved. The purpose of this paper is to study the convergence design of persuasive technology and elementary school students
M-Learning: Spatial Atomic Orbital for Stem

Downward trend of student's enrolment in science and health studies is an issue that should not be taken lightly.This is due to the decrease in the workers in these science-related fields may jeopardise the successful implementation of government's agenda in alleviating Malaysia's performance in the world stage.In this paper, mobile application named SPATO, a teaching aid in the learning of atomic orbitals of elements in the Periodic Table is presented.SPATO is developed with the aim to spur the interest of community in studying the science-related subjects in the guise as a mobile-learning tool.The Waterfall Model was used to fulfill the aims in the development of this mobile application.Expert reviewers were involved in the testing of this mobile-learning tool using TAM model.From the distributed questionnaire, SPATO had shown to be well accepted by the users as all the categories show positive results.Users found that it is easy to use, even though initially they might not familiar with the m-learning application.SPATO provides a platform for the community to engage themselves to the topic of atomic orbitals.Results from the acceptance testing show that SPATO can function as an alternative approach in understanding the chemical elements.
A New Image Classification Architecture Inspired by Working Memory

Neuroscience and Artificial Intelligence (AI) have a long and intertwined history. The two fields promote each other and develop together. At present, many famous AI algorithms are inspired by the biological brains and most of them have got better performance. Working memory is regarded as a cognitive system which has been demonstrated playing an important role in the algorithms involving long term data storage, such as natural language processing and path finding. However, if the algorithms of image classification, which is a kind of cognitive task, can be optimized by this human mechanism is unclear. In this paper, we aim to first investigate the cognitive task execution mechanism of working memory. Second we will explore a theoretical model from the physical cognitive mechanism and apply it on the image classification tasks. We will show that, our model overturns the way to feature extraction of previous models, it uses an unsupervised method instead of supervised methods and the accuracy is improved.