Reviewerly/exHarmony huggingface dataset:
PERSEPSI MASYARAKAT WOMBO TERHADAP PENETAPAN KAWASAN HUTAN PENDIDIKAN UNIVERSITAS TADULAKO

Perception is the process of a stimulus to organize observations in such a way that they can be returned through the sense organs. This study aims to determine public perception of the determination of educational forest areas. This study was conducted for three months, namely in February 2018-April 2018. Materials and tools used in this study were questionnaires, writing instruments, cameras, calculators, computers and data what is needed in this study consists of primary and secondary data and using descriptive methods. The results of the scale interval of community knowledge about educational forests obtained 104 results that are less aware of the existence of educational forests. For the results of the interval scale community understanding of the basis and purpose of the education forest shows that community understanding for the category of very understanding with the total score of 75 there are 15 people, the category of understanding with a score of 60 there are 15 people, the category of less understanding with a score of 9 there are 3 people, the category does not understand with a score of 2 there is 1 person and very do not understand with a score of 0 there is 1 person so that an interval scale of 146 is found that the public understands what is meant by the basis and purpose of an educational forest. The results of the scale of community perception interval on the determination of educational forest area obtained an interval scale of 17 people in the excellent category with a total score of 3, a good category of 20 people with a total score of 80, a less good category 6 with a total score of 18, a bad category 0 with a total score of 0 and category is not very good 1 with a total score of 1 so that the final scale obtained is 134, which means the community's perception of the determination of the education forest area has not yet had a negative impact.
Development of Curriculum Model Using ICT Content

This study was intended to present new constitutive models by developing curriculum model using ICT contents. In particular, this study examined the current state of ICT utilization in physical education and presented the available physical education ICT contents configuration model. Using ICT in physical education is expected to be an alternative of overcome the bad physical education facilities and environment, also highly utilized as a valuable material that can provide specific feedback in learning motor skill. The types of ICT use in physical education classes are being utilized divided by web-use learning and application program-use learning. In composing physical education ICT contents, the server presents a problem to be solved by each student and encourage cooperative learning. If one team determines the solving idea about learning problem through team discussion, they solve the problem by repeating the process of giving teacher and other team’s feedback on determining opinion. On the other hand, the class begins after learning the principle of specific movement utilizing the VTR or computer S/W in the practical training lesson of physical education. If the good hardware and software environment combine with the transformation of the recognition on physical education which has been away from the ICT, it will be able expected a broad using of ICT in physical education.
Chatbot for college using Google Actions

The project Chatbot for college using Google Actions is a mobile application that presents a solution to the query of the users. Users just must question the bot and Chatbot will answer user's queries. Students can ask questions the usage of any English textual content or Voice. There is not any precise layout, the consumer has to follow. The System uses AI to answer the query supplied via Google moves for the student questions. The gadget replies using a powerful technique which is a Graphical User Interface which implies that as if an actual character is speaking to the person
Polarization Image Registration Algorithm Based on Improved SIFT Descriptor

Abstract With the application of polarization imaging technology more and more widely the research on how to obtain polarization information quickly and efficiently has always been the focus of people’s attention. In view of the numerous edge points generated by DoG (Difference of Gaussian) in the process of feature point extraction by SIFT(Scale-invariant Feature Transform) algorithm, which leads to tedious and time-consuming operation, an improved Sobel algorithm combined with SIFT operator image registration algorithm is proposed in this paper. The concrete implementation steps are as follows: firstly, the traditional two-direction Sobel algorithm is supplemented to eight directions, and then edge points are extracted. Then SIFT algorithm is used to detect feature points. Then, the feature points belonging to edge points are eliminated by Sobel operator. This method reduces the number of matching cycles. The processing results of RGB image and polarization image with this algorithm are compared with those of traditional SIFT algorithm, and the time consumption in the registration process is reduced by 60.5% on the premise of ensuring the accuracy.
Dialectic Opportunities Of Extracurricular Activities In The Formation Of Intellectual And Creative Qualities

The essence of the didactic possibility of extracurricular work during the formation and development of intellectual and creative ability is revealed using the example of the Technical Creativity circle.
Access and Visualize Oceanographic Data from International Project’s Databases and Marine Hydrophysical Institute Oceanographic Data Bank Using the Ocean Data View Software

The paper provides a brief overview of the processes for collecting, archiving and accessing oceanographic insitu data from international projects such as SeaDataNet[1], EMODNET[2], and BlackSeaScene [3].Using SeaDataNet as an example, the structure of a distributed data network is described and the procedure for selecting and downloading oceanographic data from the SeaDataNet portal is considered.Particular, attention is paid to the free software Ocean Data View (ODV) [4] providing a user-friendly interface for working with the downloaded oceanographic data.Moreover,
The suppliers’ selection process through Extended Fuzzy Cognitive Maps and the Technique for Order of Preference by Similarity to Ideal Solution

In recent times, supplier selection has become one of the most important and crucial activities for companies. In this study, using the extended fuzzy cognitive maps (E-FCM) and technique for order of preference by similarity to ideal solution (TOPSIS), a decision-making support system is realised to assist managers in this activity. E-FCM expresses a causal relationship among criteria, computing linguistic variables to describe a complex situation. The proposed system allows managers to conduct an a priori evaluation regarding supplier suitability, according to both company and market requirements. A panel of experts was formed, according to their expertise areas, to cover the entire problem domain and model it. The problem was investigated in terms of the factors identified by the experts, such as costs, delivery quality, organisational capability, supplier flexibility, service quality and supplied product quality. These factors were analysed using the TOPSIS approach to rank the suppliers, and the use of TOPSIS allows for discrimination of the E-FCM. This decision-making support system was applied to a real case scenario to test its functionality; in particular, an Italian shoes and accessories company. The TOPSIS ideal solutions were defined from two different points of view: based on the standard TOPSIS procedure and on specifics fixed by the company managers. The two approaches resulted in considerably different outcomes, highlighting the need to consider concepts related to company expectations in the E-FCM.
An Enhanced Bat Algorithm with Random Walk for Solving Continuous Optimization Problems

Bat algorithm (BA) has been a successful algorithm for continuous optimization problems. However, its exploitation and exploration powers still leaves something to be desired. This work enhanced BA's exploitation power by introducing two new random walk processes that made its local search more thorough and enhanced it's exploration power by introducing inertia weight to intensify its global search near the end of the optimization process. We called this new algorithm an enhanced BA. The performance of enhanced BA on 15 widely accepted benchmark functions was compared with those of the original BA and genetic algorithm and found to be better than those achieved by the original BA and genetic algorithm on most of those benchmark functions. The directions of our future works are toward applying this enhanced BA to practical, real-world engineering problems and toward hybridizing BA with some other meta-heuristic algorithms.
Application of Genetic Algorithms in Higher Education Area

In computer science, a genetic algorithm (GA) is a computational method for solving optimization problems.Genetic algorithms are inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA).Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.The application of genetic algorithms in higher education area is the focus of our study.The aim of this paper is to evaluate the possibilities of applying genetic algorithms in the higher education area.This paper identifies and analyses suitable literature, research papers and articles in order to determine their categorization in the field of higher education, to determine the current trends of using genetic algorithms in education, and to determine its current and future applications.
ON EXPLAINING VARIABLE RANGE IN STANDARD PROGRAMMING LANGUAGES (TO STEM STUDENTS)

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 1551-1561ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0445Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Super-Resolution Network for General Static Degradation Model

Recent research on single image super-resolution (SISR) has made some progress. However, most previous SISR methods simply assume that a low-resolution (LR) image is bicubicly downsampled from a high-resolution (HR) image. when the LR images don’t follow this assumption, these previous methods will generate poor HR images that still retain the blur and noise information. To solve this problem, we propose the super-resolution network for general static degradation model (SR-GSD). Specifically, we propose degradation factors proposal Network (DFPN) which can automatically identify blur kernel and noise level, and furthermore, we utilize predicted degradation factors and the LR images to reconstruct the HR images in a high-resolution reconstruction network (HRN). Moreover, to simplify the training process, we unify the two-stages steps into a neural network and jointly optimize it through a multi-task loss function. Extensive experiments show that our SR-GSD can achieve satisfactory results on the general static degradation model.
Complete Assimilation of Busan Dialect

【초록】이 연구의 목적은 부산 방언에서 발생하는 완전동화 현상과 관련된 제약을 기술하는 데 있다. 완전동화는 주로 활용형에서 발생하며 어간말 모음과 어미 첫 모음이 같아지는 현상을 말하며 수의적으로 보상적 장모음화를 동반한다. 완전동화는 국어에서 흔히 목격할 수 있는 현상이지만 개인별, 세대별, 지역별 편차가 크다는 점에서 현상의 존재에 대한 의문뿐만 아니라 현상을 기술하고 형식화하는 과정에서도 적지 않은 한계를 보이고 있다. 지금까지 완전동화에 대한 종합적인 논의가 이루어지지 못한 것도 일부 이러한 이유로 연관되어 있다. 본문에서 다루어진 내용을 요약하면 다음과 같다.부산 방언에서 발생하는 완전동화는 주로 60-80대의 노년층에 속하는 제보자를 통해서 확증된 것이며 현재 모음 탈락과 개신 과정에 있음을 확인할 수있었다. 부산 방언의 성립 여부와 저간의 논의가 활성화 되지 못한 점은 완전 동화를 정밀하게 기술하는 과정에서 가장 큰 문제점으로 남아 있다. 앞으로의 과제는 신뢰할 만한 제보자 선정과 폭넓은 채록을 통해 완전동화와 관련된 보다 정확한 변화 과정을 제시하는 일이라 할 것이다.The purpose of this study is to describe the application environment and constraints associated with the phenomenon of complete assimilation occurring in the Busan dialect. Complete assimilation occurs primarily in inflection forms and is the phenomenon of the equalization of the first vowel of ending and the vowel of the final stem, accompanied by the number of compensatory lengthening. Complete assimilation is a common phenomenon in the Korean language, but they have considerable limitations in the process of describing and formatting the phenomenon as well as in the question of the existence of the phenomenon, given the wide variation between individuals, generations and regions. The failure of full-scale and comprehensive discussions on complete assimilation so far will be part of this. The complete assimilation that occur in the Busan dialect were confirmed through informants, mostly in their 60s and 80s, and could be confirmed to be in the process of being removed from the vowel and replaced. The contents that summarized in the text are as follows.
Keefektifan Pembelajaran Mengonstruksi Teks Eksposisi Menggunakan Model Investigasi Kelompok dan CIRC Berbantuan Media Tayangan Mata Najwa

Tujuan dari penelitian ini adalah (1) menentukan keefektifan pembelajaran mengonstruksi teks eksposisi dengan model Investigasi Kelompok berbantuan media tayangan Mata Najwa pada peserta didik kelas X SMA (2) menentukan keefektifan pembelajaran mengonstruksi teks eksposisi dengan model Cooperative Integrated Reading and Composition (CIRC) berbantuan media tayangan Mata Najwa pada peserta didik kelas X SMA (3) menentukan model manakah yang lebih efektif diterapkan pada pembelajaran mengonstruksi teks eksposisi pada peserta didik kelas X SMA. Dalam desain penelitian ini menggunakan desain True Experiment Design tipe Pretest-Posttest Control Group Design yang mana terdapat dua kelas eksperimen yakni kelas dengan perlakuan model Invetigasi Kelompok dan perlakuan model Cooperative Integrated Reading and Composition (CIRC). Hasil penelitian ini adalah (1) model investigasi kelompok dengan berbantuan media tayangan Mata Najwa efektif digunakan pada pembelajaran mengonstruksi teks eskposisi (2) model Cooperative Integrated Reading and Composition (CIRC) dengan berbantuan media tayangan Mata Najwa efektif digunakan pada pembelajaran mengonstruksi teks eskposisi (3) model investigasi kelompok lebih efektif dibandingkan model Cooperative Integrated Reading and Composition (CIRC) pada pembelajaran mengonstruksi teks eskposisi. The objectives of this study are (1) to determine the effectiveness of learning to construct exposition text using Group Investigation Model with Mata Najwa Show as the medium in 10 th grade of high school students (2) to determine the effectiveness of learning to construct exposition text using Cooperative Integrated Reading and Composition (CIRK) with Mata Najwa Show as the medium in 10 th grade of high school students (3) to determine which model is more effectively applied to the learning of constructing exposition text in 10th grader of high school students. This study uses a True Experiment Design Pretest-Posttest Control Group Design type in which there are two experimental classes namely the class treated with the Group Investigation model and the Cooperative Integrated Reading and Composition (CIRC) model in the other class. The results of this study are (1) the group investigation model with Mata Najwa Show as the medium is effectively applied in the learning to construct exposition text (2) Cooperative Integrated Reading and Composition (CIRC) model with Mata Najwa show as the medium is effectively applied in the learning to construct the exposition text (3) Group Investigation Model is more effective compared to Cooperative Integrated Reading and Composition (CIRC) Model in the learning of constructing exposition text.
An Investigation of the Relationship between Writing Achievement and Writing Strategy Use by Secondary School Students

Basically, this study aims to identify the extent to which Iraqi secondary school students use writing strategies and how proficiency level and students' gender could affect writing strategy use. The study also examines the relationship between writing achievement and writing strategy use among Iraqi secondary school students. For this purpose, 140 Iraqi secondary school students were selected randomly from six different schools. Petric and Czarl’s questionnaire (2003) was adopted in the study as an instrument to collect the needed data. A software of SPSS used to analyze the collected data. The findings revealed that secondary school students appeared as low users of writing strategies; low proficient students do not show a statistically significant difference compared to high proficient students, female students use more strategies compared to male students do. The study also found a positive correlation between writing strategy use and writing achievement.
Distributed Cumulative Histogram Features for Similarity Graph Decomposition of Face Images

The method for extraction of face distributed features from pixel intensity columns and rows is developed. For the processed images the biggest difference was observed. The application of the developed statistical features for use in the classification of faces is demonstrated.
Multi-Task Ensemble Creation for Advancing Performance of Image Segmentation

Image classification is a special type of applied machine learning tasks, where each image can be treated as an instance if there is only one target object that belongs to a specific class and needs to be recognized from an image. In the case of recognizing multiple target objects from an image, the image classification task can be formulated as image segmentation, leading to multiple instances being extracted from an image. In the setting of machine learning, each instance newly extracted from an image belongs to a specific class (a special type of target objects to be recognized) and presents specific features. In this context, in order to achieve effective recognition of each target object, it is crucial to undertake effective selection of features relevant to each specific class and appropriate setting of the training of classifiers on the selected features. In this paper, a multi-task approach of ensemble creation is proposed. The proposed approach is designed to first adopt multiple methods of multi-task feature selection for obtaining multiple groups of feature subsets (i.e., multiple subsets of features selected for each class), then to employ the C4.5 algorithm or the KNN algorithm to create an ensemble of classifiers using each group of feature subsets resulting from a specific one of the multi-task feature selection methods, and finally all the ensembles are fused to classify each instance. We compare the performance obtained using our proposed way of ensemble creation with the one obtained using classifiers trained on different feature sets prepared through various ways. The experimental results show some advances achieved in the overall classification performance through using our proposed ensemble creation approach, in comparison with the use of existing feature selection methods and learning algorithms.
Kernel of CycleGAN as a principal homogeneous space

Unpaired image-to-image translation has attracted significant interest due to the invention of CycleGAN, a method which utilizes a combination of adversarial and cycle consistency losses to avoid the need for paired data. It is known that the CycleGAN problem might admit multiple solutions, and our goal in this paper is to analyze the space of exact solutions and to give perturbation bounds for approximate solutions. We show theoretically that the exact solution space is invariant with respect to automorphisms of the underlying probability spaces, and, furthermore, that the group of automorphisms acts freely and transitively on the space of exact solutions. We examine the case of zero pure CycleGAN loss first in its generality, and, subsequently, expand our analysis to approximate solutions for extended CycleGAN loss where identity loss term is included. In order to demonstrate that these results are applicable, we show that under mild conditions nontrivial smooth automorphisms exist. Furthermore, we provide empirical evidence that neural networks can learn these automorphisms with unexpected and unwanted results. We conclude that finding optimal solutions to the CycleGAN loss does not necessarily lead to the envisioned result in image-to-image translation tasks and that underlying hidden symmetries can render the result useless.
Factors of Innovative Behavior in Malaysia

The main objective of the study is to examine the determinants of innovative behaviour among government servants in Malaysia. Building from the transformation leadership model of inspirational leadership, intellectual stimulation and individualised consideration, and the importance of knowledge sharing and intrinsic motivation, a survey was conducted. The results of the SEM-PLS indicate knowledge sharing, intellectual stimulation and intrinsic motivation are significant determinants of innovative behaviour but leader's inspirational motivation and intellectual stimulation were not significant factors. The strongest linkage is between intrinsic motivation and innovative behaviour. The study is essential to spur greater innovativeness among government servants, and the findings could be used as a strategy to inculcate inter and intra-innovations as the public sector is the driving agent for achieving the national agenda.
COMPARISON OF METHODOLOGIES IN ASSESSING EFFECTIVENESS OF GAME BASED LEARNING IN MATHEMATICS EDUCATION

COMPARISON OF METHODOLOGIES IN ASSESSING EFFECTIVENESS OF GAME BASED LEARNING IN MATHEMATICS EDUCATION
Youth employment. Work Experience vs Good Education [Трудоустройство Молодежи. Опыт Работы Или Хорошее Образование]

Every year the Center of the Economics for Continuing Education of the Institute of Applied Economic Research of the Russian Presidential Academy of National Economy and Public administration monitors the youth labor market problems. This article uses fieldwork collected in the three regions of the Russian Federation. The results of the monitoring made it possible to identify the main problems that youth face in finding employment. This article presents main results about relationship between the quality of education received by the youth, work experience and professional perspectives on the labor market.
A Feature Selection Framework for Software Defect Prediction Using ISFLA

Abstract Aiming at the problem of feature space dimension reduction and large search space in feature selection of software defect, a defect prediction feature selection framework based on meta-heuristic search algorithm (ISFLA) is proposed. The framework improves generalization of predictions of unknown data samples, enhances the ability to search for features related to learning tasks, and completes further reductions in feature space dimensions. Using some NASA data sets, several common software defect prediction methods and ISFLA simulation experiments were carried out. The experimental results show that the software feature selection framework based on the improved shuffled frog leaping algorithm effectively improves the performance of software defect prediction.
MY STUDENTS RATHER USE TECHNOLOGY ANYWAYS! INCREASING DIGITAL PEDAGOGY OF TEACHER CANDIDATES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 8780-8783ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2096Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain