Reviewerly/exHarmony huggingface dataset:
Pelatihan Penyusunan Laporan Keuangan dan Pajak Entitas yang Tidak Menyelenggarakan Sistem Akuntansi Bagi Guru SMK dan SMA Pengajar Akuntansi di Kota Pontianak

This activity aims to provide a basic theory of how to compile financial statements for entities that do not hold accounting information systems, provide skills to utilize available technology to conduct financial statement preparation, and introduce the types of information technology used in tax reporting. Currently the industrial world has entered the Industrial era 4.0 graduates from education providers must have technology-based competencies in order to be able to have competitiveness and keep up with the times. Industries that are running domestically, should be able to be carried out and carried out by local workers by increasing their capacity. So that they are not just occupying low positions
A Systematic Approach to Identify an Appropriate Classifier for Limited-Sized Data Sets

Data size is a main issue in any data mining application, since limited size data results in a small training set that leads to a poor classification model and therefore a poor classification performance. Although, many real-life applications need a classifier that deals with limited size data sets appropriately. A considerable interest is focused on how to achieve a reasonable classification performance for small data sets. Current works focus on either enhancing classification algorithms or enlarging the data sets, these solutions have limitations such as increasing the computational time, or reaching data sets that do not reflect the actual population of the real data. However, this research looks at the problem from a different angel, it aims to address the data quantity issue by identifying the most appropriate classifier for small data sets using three well-known classifiers which are Decision tree (J48), Support Vector Machine (SVM) and Naive Bayes. Extensive experiments are conducted to examine the performance in terms of four different measures which are accuracy, f-measure, sensitivity and specificity. We used six small data sets from UCI repository with different attributes and instances sizes. Results revealed that SVM accomplished the best performance along most of the used data sets.
ORGANIZATION OF STUDENTS’ RESEARCH WORK IN A FOREIGN LANGUAGE

The article considers the peculiarities of the organization of students’ research work in a technical university in foreign language classes with a gradual transition from simple forms of research to more complex ones, which is aimed at the harmonious development and improvement future specialists’ skills and abilities. The purpose of this article is to identify the main problems of the organization of students’ research work in a foreign language and consider ways of improving this process. Special attention is paid to the tasks, functions, components and various forms of students' research work. The researcher describes the possibility of using assignments for research work and organizing their performing by students in a foreign language class, in particular, such tasks as writing a summary of the text proposed by the teacher, corresponding to the student’s specialization, drawing up a plan for it, drawing up terminological dictionaries, preparing reports on a given topic, writing creative works, essays, drawing up tables and diagrams, solving problematic issues related to the future profession of a student, writing abstracts, preparing the presentation of study' results. The involvement students in the work of scientific conferences, seminars, competitions, contests, and meetings with leading foreign experts are encouraged. The defense of master's and diploma projects in a foreign language prepares the student for the exercise of profession and integration into a foreign language environment. The examples of the most common mistakes made in the preparation of research works, which indicate the lack of students’ research skills formation are given, and ways to overcome them are recommended. The conclusions are related and future works are suggested. Thus, it also possible to create an education plans of student’ research work in foreign language and recommendations for the specific academic curriculum.
The Neural Tree

Before discussing the subject itself, let us examine how the problem is solved for growth forms of non-living matter. A similar problem arises in the propagation of curved flames, but in a more paradoxical way. Intriguingly, a curved flame keeps its smooth shape up to a high Reynolds number without developing secondary instabilities. However, starting from a certain size, the curved flame breaks to form a string of cells, which are rounded on the fresh gas side and cusped on the burnt gas side. In fact, an initial perturbation of the flame front, with wavelength λc, located near the tip and in the same length scale, must be considered to calculate how it increases over time.
Single spiking neuron as direct digital frequency synthesizer

According to the neuroscience, studies on third generation of neural networks called spik- ing neural networks (SNN) have been developed recently. SNNs are used to model natural comput- ing of the brain. Spike train based networks are investigated as signal processing of the brain is an objective. This paper propose a digital hardware implementation of a single spiking neuron. The neuron is used as a direct digital frequency synthesizer. The proposed architecture uses leaky integrate and fire (LIF) neuronal model which is easy to implement. Inter spike interval (ISI) of the input and the output spikes are used as coding scheme. A FPGA platform is utilized due to its flexibility and real time applications. The simulation results of both Matlab and Quartus II indicate acceptable accuracy of the proposed design compared to the related works. The Verilog language is used for hardware simulation. The maximum operating frequency of 250 MHz is reached on Cyclone III device.
한국인 화자의 교과서 읽기에서의 영어 파열음 VOT에 대한 연구

The purpose of this study is to analyze the Voice Onset Time (VOT) of English stops in textbook paragraph reading. It is differentiated from previous research in that it analyzed the stop pronunciation after two months-not just after pronunciation training. For this purpose, eight of the prospective English teachers who received the high level in the evaluation of textbook reading proficiency test were tested. Major results show that VOT value of voiceless stop produced by the subjects was slightly shorter than that of the native English speakers except for /t/, while VOT value of the voiced stop was slightly longer than that of the native speaker except for /g/. Also, it is noticeable that subjects had less distinct voiced stops and voiceless stops than those of native speakers. The results may be interpreted that even though the VOT values of Korean speakers'' English stops are not comparable to that of native speakers, it does not interfere communication.
Parallels and contrasts between the ASD-STE Dictionary and the Ontology in FunGramKB

In this article we intend to offer the results of comparing and matching basic and terminal concepts (and their corresponding lexical units) in FunGramKB with Words (and their corresponding synonyms) in the ASD-STE dictionary and determine whether the way in which this controlled language has been designed draws similarities with the way in which the conceptual information of that knowledge base is built. To provide evidence based on authentic material, we have selected the list of 190 approved verbs in the ASD-STE dictionary: a collection of units complying with the ASD-STE lexical and syntactic restrictions. These verbs are used as a representative sample to be compared with 547 verbal concepts stored in the FunGramKB #EVENT subontology (as basic or terminal concepts). The level of compatibility between both repositories offers four possibilities of conceptual and/or lexical matching at varying degrees: i) direct matching, ii) indirect matching, iii) no matching, or iv) missing. The quantitative results of this analysis may prove that a significant percentage of verbal Words in the ASD-STE dictionary (more than 50%) are directly or indirectly represented in FunGramKB, either as concepts or as lexical units associated with other concepts.
Face Detection and Eye Detection in Image and Video using Pre-trained HAAR-Cascade Classifier

This paper aims to detect the face in the given image and in live video.For this purpose, we are using pre-trained "Haar Cascade Classifier" to locate face/faces in the image and in live video.But before this, we are doing "Image Processing" for the purpose of Input Pre-processing.And then Image Enhancement to correct Non-uniform illuminations and then use pretrained Cascade-Classifier to locate face/faces and eyes in the image and in live video.
What Do Teachers Do to Promote Students’ Reading Literacy at 4th Grade? – Evidence From Iea Pirls 2016 Study

Reading skills which a child learns from an early age are crucial for student's success or failure in subsequent school years as literacy is closely related to all other school subjects.Learning to read and promotion of reading plays an important role in the development of the personality and attitudes of the child.Teacher is the one responsible for applied techniques of teaching and learning to read, and methods that are used purposefully lead students to the understanding of a text.It is of great importance for teacher to have a wide arsenal of diverse educational methods and experiences.Primary teachers should have a broad theoretical knowledge base and also be able to teach different reading strategies to help students to reach their full potential as readers.An important factor in developing attitudes towards reading is the ability of reading literacy teachers to get their students to become interested in both -literary works as a source of information and joy, and reading as an activity in general.The aim of the study is to find out what activities the primary school teachers in Latvia apply to promote their students' reading literacy and how those methods relate to students' achievements in reading.In the study a statistical group comparison is performed using IEA PIRLS 2016 data from teacher questionnaires along with information about student achievement.
Penilaian Kesesuaian Aktivitas Pengunjung Kawasan Sport Center Kudus dengan Metode Skoring

There are various kinds of problems in the Kudus Sport Center area, such as ldan conflicts by street vendors dan criminal acts such as theft. Based on these problems there is a mismatch of visitor activity that takes place in the region. This study aims to assess the suitability of visitor activities in utilizing the Kudus Sport Center area. The analysis used was descriptive analysis dan scoring with 5 variables which were reduced to 18 assessment indicators. These variables are ease of accessibility to the area, availability of facilities, condition of facilities, security, dan activities that take place in the Kudus Sport Center area. Data used from the results of the questionnaire to 90 respondents, interviews, dan observations. The results of this study are the appraisal of the suitability of the activities of the Kudus Sport Center area of 67.56% which is included in the medium category, so that there are still assessment indicators that have not been applied in the area. The indicator according to the priority of its handling is that it can be reached by public transportation dan sports dan recreation facilities that are free from garbage dan standing water.
A. VAN DIJK TEUN ANALYSIS IN SONTOLOYO POLITICAL DISCUSSION

News circulating lately refers to the president's statement which eventually becomes a discourse in every news. The sontoloyo politician is actually a quote from the president's statement which is the root of the problem. The author wants to analyze, how the process of production and acceptance of the discourse actually is. Therefore, the author determines the background of the problem in this study, namely 1) How Teun A. van Dijk's theory can influence the reader after reading the news based on the analysis model image and the schematic of the process of receiving information in electronic media republika.co.id and seconds. com ?; 2) What is the theory of Teun A. van Dijk's theory of the macro context and micro context elements contained in electronic news republika.co.id and pilpre.tempo.co ?; 3) What is the final conclusion that can be accepted by the reader after reading electronic news republika.co.id and detik.com using Teun A. van Dijk's theory through the macro context and micro context elements? The analytical tool in this study is to use Teun A. van Dijk's theory which refers to text formation images, information receipt charts, and macro and micro context analysis. The results of the analysis of this study are that the reading concept will mean reading, the results of the meaning will be analyzed by the reader by using the background of his knowledge. So, the media has a tendency to make things different, according to the interests and authorities who govern them. Readers must be able to sort out so that they are not easily affected by the formation of writing or framing made by the media.
Learning Optimal Classification Trees Using a Binary Linear Program Formulation.

We provide a new formulation for the problem of learning the optimal classification tree of a given depth as a binary linear program. A limitation of previously proposed Mathematical Optimization formulations is that they create constraints and variables for every row in the training data. As a result, the running time of the existing Integer Linear programming (ILP) formulations increases dramatically with the size of data. In our new binary formulation, we aim to circumvent this problem by making the formulation size largely independent from the training data size. We show experimentally that our formulation achieves better performance than existing formulations on both small and large problem instances within shorter running time.
Behavioral sciences and auto-transformations. Introduction

The goal of the present article is to define transformations (named here as auto-transformations) of probability density functions of random variables into similar functions having smaller sizes of their domains. In particular, auto-transformations from infinite to finite sizes of domains will be analyzed. The goal is aroused from the well-known problems of behavioral sciences.
Long Short-Term Memory를 활용한 건화물운임지수 예측

Purpose: The purpose of this study is to overcome limitations of conventional studies that to predict Baltic Dry Index (BDI). The study proposed applications of Artificial Neural Network (ANN) named Long Short-Term Memory (LSTM) to predict BDI.Methods: The BDI time-series prediction was carried out through eight variables related to the dry bulk market. The prediction was conducted in two steps. First, identifying the goodness of fitness for the BDI time-series of specific ANN models and determining the network structures to be used in the next step. While using ANN''s generalization capability, the structures determined in the previous steps were used in the empirical prediction step, and the sliding-window method was applied to make a daily (one-day ahead) prediction.Results: At the empirical prediction step, it was possible to predict variable y (BDI time series) at point of time t by 8 variables (related to the dry bulk market) of x at point of time (t-1). LSTM, known to be good at learning over a long period of time, showed the best performance with higher predictive accuracy compared to Multi-Layer Perceptron (MLP) and Recurrent Neural Network (RNN).Conclusion: Applying this study to real business would require long-term predictions by applying more detailed forecasting techniques. I hope that the research can provide a point of reference in the dry bulk market, and furthermore in the decision-making and investment in the future of the shipping business as a whole.
PENINGKATAN KEAMANAN DATA TEKS TERENKRIPSI ALGORITMA LUCIFER MENGGUNAKAN STEGANOGRAFI GIFSHUFFLE PADA CITRA

Increased resistance to the algorithm used to secure secret messages is very necessary. This is caused by the ability of the attackers who are able to justify various ways to solve the algorithm used to secure data. Lucifer algorithm has many variants, one of which is a lucifer with a 16-round feistel network that operates on 128 bit blocks and uses 128-bit keys. Computing 2 ^ 36 plaintext and 2 ^ 36 complexity can attack this variant. This study describes the use of the gifshuffle algorithm to optimize the Lucifer algorithm in securing data. The gifshuffle algorithm is used to hide encrypted messages based on the Lucifer algorithm into the gif format media. Based on tests conducted, it was found that there were no significant differences in the cover image and stegano image after the message insertion process was carried out.Keywords: Cryptography, Steganography, Lucifer, Gifshuffle, message
An efficient similarity search using a combination between descriptors: a case of study in human face recognition

Face recognition is one of the important fields of search in computer vision. Its principle consists to look for images that represent the similar faces to a given face image the image request. This process is done by extracting a set of features of the request image then making comparison between features generated by the request one and the others extracted from whole face image database. Recently, numerous face representation and classification methods have been proposed in the literature. Nevertheless, many issues related to indexing, combination of adequate descriptors and time computing have not yet been solved. In this paper, we deal with problems related to features combination and this, by conceiving a preformat content-based image retrieval that is mainly oriented to handle face authentication challenges. Its convivial interface allows to user the selection of appropriate weighting coefficient values associate to each feature based on human judgment in order to enhance the retrieval performance. We have tested our proposed method on ORL database by using a set of known features. The obtained results show the performance of our proposed method.
Technologies of Adult Education: Northern-American Experience

Abstract Factors that influence motivation are split into external and internal. Key peculiarities of adult who learns are found out. A person who studies can trace connection between educational needs and solution of everyday life problems. Basic terms of learning efficiency are: self-orientation and independence. The main principles of adult education are systematized. They are the following: necessity to know, consciousness, willingness to learn, focus on learning, intrinsic motivation, self-orientation, relying on experience, situational, practice-orientation, motivation. The concept “educational technology” is analysed. Educational technology is systematic targeted approach to learning that combines specific teaching methods, educational technology, and takes into account psychological part of the learning process – relationship between learners and those who teach; systemic ways of activities of those who teach and those who study for the effective achievement of learning goals. Principles of educational technology usage are outlined. They are: individualization, creativity, self-motivation, cooperation, activity. The gist of interactive technology is found out. Interactive learning technology is based on the interaction between participiants of training; organization of joint activities based on dialogic teaching methods; a way of organizing learning of adults considering the needs, interests, personal and professional experience. Basic forms and methods of adult’s interactive teaching in the USA are: conversation, discussion, collective solving of creative situations, the method of “round table”, project method, playing techniques, mentorship, coaching – training in small groups, storytelling, method of narrative.
Pengolahan Pakaian Secondhand Berbahan Denim Untuk Produk Fashion Menggunakan Teknik Surface Textile Design Yang Terinspirasi Dari Jumputan Palembang

Abstract Many types of fashion products with well-known brands create Cimol Gede Bage Market encountered by the consumer from many quarters, however, the condition of its clothes is out of date. In contrast to the rest of the imported clothes made from denim in Cimol Gede Bage market. Due to its design that never changed and the material is strong, denim is sought after by consumers so the selling of denim is often found in Cimol Gede Bage Market even though there are some defects in certain parts. In fact, clothing made from denim has considerable potential to be processed into fashion products, using surface textile , one of which was inspired by the Palembang jumputan technique. The manufacture of this product started from the observation phase to Cimol Gede Bage Market and conduct interviews for data collection, and continued with a review of the literature through print media such as books, journals or through trusted websites. After the data is collected, then the next phase is exploration. Exploration used to determine the appropriate techniques to be applied on the denim which will be reprocessed. From various of explorations that has been done, the secondhand denim clothing that has been treated with surface textile design is very appealing if applied to accessories products, especially such as bags and shoes. Keywords : Denim, Cimol Gegebage Market, Surface Textile Design, Palembang Jumputan Technique
Computer Vision Systems for Content-based Image Classiﬁcation

In this paper, computer vision based Content-Based Image Classification systems have been described which are useful in various service and product industries.We have proposed Confidence Co-occurrence Matrix, which is a modification of Generalized Co-occurrence Matrix.The proposed framework merges properties of Confidence Cooccurrence Matrix along with other features such as RGB and HSV Histograms, Local Binary Pattern and Canny's edge detection approach.Proposed approach creates a fixed-size descriptor of size 1632.Once a feature vector has been constructed, classification is performed using Linear Support Vector Machine.The System is tested on four different wellknown datasets namely, sport events Database, Flavia Leaf Dataset, Leeds Butterfly Dataset and Birds Dataset .The proposed system is implemented in MATLAB and achieves an average class accuracy of 96%, 99%,95% and 95% for the four datasets respectively .
BOOK FORMATS FOR THE VISUALLY IMPAIRED IN THE MODERN ERA

The article defines classification of book formats for the visually impaired, main technologies of creating books of special formats, assessment of promising areas of development of book publishing for the visually impaired in Russia.
PERBANDINGAN METODE PEMBELAJARAN INTERAKTIF SETTING KOOPERATIF DAN METODE CERAMAH PADA PRESTASI BELAJAR SISWA DI SMK YP GAJAH MADA

This research is a quasi-experimental study (quasi experiment) using two groups, namely the experimental group and the control group randomly selected.The study was conducted in 1 meeting which aims to find out whether there are comparisons of student achievement using the PISK method and lectures and how much the difference in learning achievement obtained by students in Engineering Drawing subjects at YP Gajah Mada Vocational School.Tecnichal aggregate data use test.The results showed that the learning achievement of students using the PISK method averaged 80, the learning outcomes of students who used the 72 lecture method, there were comparisons of student learning achievements between the PISK method and the lecture method.This can be seen from the results of hypothesis testing using the t-test for tcount, which is 1.95 greater than t table, which is 1.68.From the results of the study, the experimental method can be used in the learning process.