Reviewerly/exHarmony huggingface dataset:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning

Shaping in humans and animals has been shown to be a powerful tool for learning complex tasks as compared to learning in a randomized fashion. This makes the problem less complex and enables one to solve the easier sub task at hand first. Generating a curriculum for such guided learning involves subjecting the agent to easier goals first, and then gradually increasing their difficulty. This paper takes a similar direction and proposes a dual curriculum scheme for solving robotic manipulation tasks with sparse rewards, called MaMiC. It includes a macro curriculum scheme which divides the task into multiple sub-tasks followed by a micro curriculum scheme which enables the agent to learn between such discovered sub-tasks. We show how combining macro and micro curriculum strategies help in overcoming major exploratory constraints considered in robot manipulation tasks without having to engineer any complex rewards. The performance of such a dual curriculum scheme is analyzed on the Fetch environments.
Penyusunan bahan ajar Sastra Makassar bagi Guru Bahasa Daerah di Kabupaten Takalar

The purpose of this activity is to improve the quality of local language learning. Therefore, the quality of local language teachers must be continuously improved, both in terms of curriculum implementation, preparation of learning media, mastering local language materials, implementing language learning models, and learning assessment systems. In this program, several stages were carried out, namely (1) preparation: opening and distributing pre-tests and training contracts; (2) presentation of materials; (3) practice and simulation; (4) mentoring; (5) evaluation. This program was carried out with a number of partners including the Head of Education, Culture, Youth and Sports Office in Takalar who had given permission to organize this program in his working area as well as teachers in Local Language Teacher Working Group in Takalar as a forum to improve teachers‟ professionalism through joint trainings. Through this activity, the results showed that local language teachers (in primary and secondary schools) in Takalar had adequate knowledge about the Curriculum 2013 (K-13), especially the Basic Competencies and Indicators of Makassar Local Language Learning; the teachers are skillful in developing syllabus and lesson plan based on the K-13 with scientific approach; and the teachers are skillful in developing teaching materials based on learning objectives, indicators, and basic competencies that have been formulated.
Pelatihan Rumah Ramah Literasi untuk Meningkatkan Keterampilan Stimulasi Literasi pada Orang Tua

Abstract. This research developed “Rumah Ramah Literasi” training program to improve parent’s stimulation of literacy skills using environmental print as a media. The research hypothesis is the “Rumah Ramah Literasi” training program can improve parent’s stimulation of literacy skills. The experimental design employed in this present study is The Untreated Control Group Design with Pretest and Posttest Samples.The subject of this research are 18 mothers which is 9 mothers in experimental group and 9 mothers in control group.The data were analyzed by using Mann Whitney U-Test. The result of this study was found that gain score literacy stimulation was significantly higher, U(n=18) =0,001, p&lt;0,05 in the experimental group (M=14) than in the control group (M=5).This indicates that “Rumah Ramah Literasi” training program could improve parents’ literacy stimulation. Effect size of “Rumah Ramah Literacy” training program was 0,84. Keywords: environmental print; literacy; literacy stimulation; parents
Social Media Addiction and Formal Writing Skills among Mass Communication Students in Osogbo, Southwestern Nigeria

This study was carried out on the influence of social media chatting on formal writing habit among university undergraduates. Literature has reported bot adverse and no effect of social media on students' writing habit. Findings vary from time to time and from place to place. This current study looks at a direction that had rarely been looked at by earlier researchers- the influence of social media on formal writing skills of Mass Communication students in a private university in south-western Nigeria. Using a multi-level sampling technique involving purposive, stratification and total population sampling, 143 answer scripts of a first-year writing course in the Department of Mass Communication were examined through content analysis. The study found that in the case of Mass Communication students, social media do not have such overwhelming adverse influence as associated with it on the writing competence of undergraduate students. Among all types of social media chat language, graphones rank highest in use among the study population. Many other factors, including writing training, interplay with social media to cause the poor writing competence among university undergraduates.  It was then recommended that further research is conducted in this area of enquiry to unveil specific areas yet untrodden. Colleges and tertiary institutions should institute courses that can improve the writing skills and the ability of the students.
Safeguarding from abuse by IoT vendors: Edge messages verification of cloud-assisted equipment

The fact that most IoT solutions are provided by 3rd-parties, along with the pervasiveness of the collected data, raises privacy and security concerns. There is a need to verify which data is being sent to the 3rd-party, as well as preventing those channels from becoming an exploitation avenue. We propose to use existing API definition languages to create contracts which define the data that can be transmitted, in what format, and with which constraints. To verify the compliance with these contracts, we propose a converging Multi-Access Edge Computing architecture which validates RESTalike API requests/responses against a Swagger schema. We deal with encrypted traffic using an SFC-enabled Man-in-the-Middle, allowing us to do verifications in real-time. We devised a Proof of Concept and shown that we were able to detect (and stop) contract violations.
PEDAGOGICAL CONFLICT – THE CONTEMPORARY TECHNOLOGY OF THE COMPETENCY-BASED APPROACH

In the 21st century, the creative role of education in the socio-economic development is increasing. Therefore, education is focused not only on the acquisition of certain amount of knowledge by learners, but also on the development of creative abilities and personal qualities, including the ability and desire to study, the ability and desire to act and the ability and desire to create. These key competencies develop in the process of learning on the basis of the technologies of the competency-based approach.The research problem is the development of positive learning motivation for students as the means of transforming inter-personal conflict into pedagogical conflict, which promotes individual’s moral education. The aim of the article is to analyse the characteristics of pedagogical conflict and elaborate the model of pedagogical conflict on this basis as a contemporary technology of the competency-based approach. The methodology of the research include: the competency-based approach and the activity-based approach;the research methods include: theoretical analysis, interpretation and mathematical statistics.The results of the study – there have been elaborated the theoretical basis of the pedagogical conflict as a technology of the competency-based approach:the nature of the has been analysed, and the content model of pedagogical conflict has been elaborated; there has been determined the organization of the process of learning based on the humanitarian inter-action of teachers and learners, which facilitates the transformation of inter-personal conflict into pedagogical conflict and promotes the moral education of an individual.
The influence of CTL in teaching English speaking skill for adult learners: a case in Islamic Mataram State University- Indonesia

The current research was a descriptive quantitative study that aimed at analyzing how Contextual Teaching and Learning (CTL) impact English speaking learning, especially for adult learners. It was a kind of case study that categorized as classroom action research which was conducted in University of Islamic State Mataram, Indonesia. The current research is believed to have a contribution in filling a gap of teaching-learning English in Indonesia. Indonesia itself is a country with a big challenge of teaching-learning English activity (Marcellino, 2015). It is hoped that the findings can be proposed for answering the challenge. Next, this study applied a quasi-experiment post-test experimental design. The sample was selected randomly, and placed in the experimental group (n=37) as well as a control group (n= 36). In the process of teaching-learning, the experimental group was taught using CTL approach, while the control group was taught using the conventional approach. Next, the current study used learning achievement post-test for knowing the effectiveness of teaching English speaking. It was the instruments for collecting the data. The results have shown that CTL has got a significant impact on improving learners' speaking ability. Therefore, it is concluded that the model of English learning with the CTL approach, in Indonesia context, is more effective than the model of the conventional model.
Combined Fuzzy-logic and Neural Network Classifiers for Uterine Fibroid in vulnerable women

The diagnosis of uterine myoma often referred to as fibroid is poor mostly as women with the ailment present fewer symptoms at the early stage and get less clinical attention. Most times, the tumour is undiagnosed till it gets to an advanced stage, and may also be as a result of the relatively expensive diagnostic equipment used. Over the years the increase in uteri myoma has called for a model that could rapidly recognise the neoplasm at an early stage. In this study, we design a relatively specific model for the detection of uterine myoma. Matrix Laboratory (MATLAB version 7.5.0, R2007b) was used to implement the combined fuzzy logic classifier called adaptive neuro-fuzzy inference system (ANFIS) model. The dataset that was used in training the ANFIS model consist of 90 cases, which involve 78% (70 cases) of the entire dataset that was used in the training process of the system. The remaining 22% (20 cases) of the data were also used in the testing process of the system, which the system will get adapted to for subsequent recognition of similar cases. The ANFIS program was designed using a bell membership function that utilises a hybrid optimisation method with an error tolerance of 0.05. The training dataset was passed through the ANFIS for 30 epochs. At the end of the simulation, the system had a training error of 0.016169 with the training dataset and an average testing error of 0.010315. The system was able to classify approximately 99% of the test data set accurately. Therefore, we have successfully classified the symptoms of uterine fibroid using combined fuzzy-logic and neural network classifiers for vulnerable women.Keywords: Artificial intelligence, ANFIS classifier, Fuzzy-logic, Fibroid &amp; Uterine myoma.
Semantic Analysis and Natural Language Text Search for Internet Portal.

The article is devoted to solving the set of problems related to natural language texts semantic analysis. The following problems are addressed: automation of generating metadata files describing the semantic representation of a web page; semantic network construction for a given set of texts; semantic search execution for a given set of texts using metadata files; and semantic network export to RDF format. The algorithms for knowledge extraction from text, semantic network construction and query execution on a given semanticnetwork are described. The lexico-syntactic patterns method was used as a basis to approach these problems. A specification for describing lexico-syntactic patterns has been developed and a pattern interpreter based on themorphological dictionary of the Ukrainian language has been created as a part of the software implementation of the method. Experimental studies have been carried out for the «classification of living organisms» subject environment set of patterns. Modified Boyer–Moore–Horspool algorithm was used to address the problem of interpreting.
Stimulation program for selective and sustained attention in preschool based on ICT

Abstract Attention is the key cognitive system of mental activity, which influences the development of higher processes and executive functions. Indeed, the need to design an innovative training program for preschoolers arose. Because here the most important evolutionary development of individuals is determined. Because of this, record potentiates the program and improves attentional levels in children, emphasizing two respective types of attention which are sustained and selective, and focusing in two modes, which are visual and auditory, but based on software of ICT implementation. The research type is quasi-experimental and descriptive, through which a documentary review of psychological theories and apps were made with relevance for this purpose. As a result, a specialized program to stimulate attention, with a complete file containing the theoretical directives of the program and its respective protocol program was obtained. It is concluded that the use of ICT to stimulate selective and sustained attention in children of this age, can generate many benefits for being interactive and innovative, contributing to the motivation of preschool, while it enhances mental abilities and improves their attentional levels.
Εφεδρικό σύστημα ελέγχου δικτυωμένων επιστομίων με εφαρμογές στα σύγχρονα πλοία

Redundancy in critical control systems and ship’s machinery in order to increase safety onship, is necessary in modern ships. The project that was designed, implemented and ispresented in this thesis, is trying to increase safety of a board, through the construction of abackup system that is able to control seawater valves. The installed SCADA system, does nothave a redundant control system for seawater valves and this is a disadvantage. Control of thevalves achieved through the ship’s installed SCADA system. The SCADA system consists of anHMI, the PLC in which is executed the automation and control of the valves, and the AS-i Bus(Actuator Sensor Interface). AS-i Bus (Network) consists of the AS-i Master (Gateways) thatreceive data from the PLC, through Profibus protocol and convert it to AS-i protocol in orderto send data over AS-i cable to AS-i slaves. It also consists of AS-i cable that transfers data andpower to the slaves. In order to create a backup system to control the seawater valves wehave to program and install an HMI, a PLC and AS-i Master.The technology of the installed Control & Monitoring System is from the first half of 2000.It is a question the compatibility of AS-i modules and PLC that are going to be used with theslave modules that have already been installed in the system.
On the second characteristic of energy----Analysis of the principle of energy replication

Through theresearch, the theory of energy replication is made perfect and the energy replication principle machine is made to verify the theory of energy replication. It is clear that energy has two characteristics: 1. The energy conservation characteristic which is general cognitive; 2. The self-replication shown by the energy under a certain condition.
Pengembangan Media Pembelajaran E-Modul Materi Sel Pada Kelas XI MIPA SMAN 3 Barru

Abstract:  This research is a development research that aims to develop learning media e-module Cell material that is valid practical and effective. The research and development phase refers to the Alessi & Trollip development model which consists of 3 stages: (1) Planning, (2) Designing (Design), (3) Development (Development). The assessment instrument consisted of five instruments: (1) the instrument of validity of the research instrument, (2) the instrument of media validity, (3) practicality test instruments by the teacher, (4) practicality testing instruments by the students, and (5) learning outcomes instruments. Based on data analysis, the average validity of the media is obtained by two validators of 4.4 (valid). The practicality of the media is obtained by the teacher's response of 100% (Very Strong), the response of students is 21.05% (Very Strong) and the response of students is 78.95% (Strong). The effectiveness of the mediaobtained 84,54% of students achieving the value of mastery learning. Based on the results of the study it can be concluded that the learning media products of e-module Cells developed are valid, practical, and effective. Keywords:   media, e-module, learning, cel
D.A.V.E: A Prototype for Automatic Environment Decoration

To fully immerse players in video games, elements of the game world must form a rich, coherent and believable universe, which is time consuming and expensive to achieve manually. We propose an artists' tool for Autodesk Maya to aid environment decoration, allowing artists to focus on the more important elements of the worlds they create.
Theft Detection System using Convolutional Neural Network and Object Tracking

Todaymodernworldishighlydigitalandhighly connected generating enormous data over the internet with high speed. Such data has led many researchers, scientiﬁc professionals to explore this data to enable computing machines to understand the real world as a real human being does. Image processing has been explored as the ﬁeld to provide machines with a vision of their own of which object detection and its tracing throughout the frame has emerged as the most important and vastly explored topic. In recent years due to the great ability and power with feature learning of the Convolutional Neural network (CNN) it has received an overwhelming interest from the computer vision community, leading through many signiﬁcant breakthroughs. Firstly the paper will introduce the basic building blocks of CNN. Secondly this paper will dive into the object detection practices which then will lead us to object tracking. Finally the paper will be explain how a theft can be detected by combining object detection and object tracking methodologies.
The Curriculum System Construction of E-commerce Major in the Era of Intelligence

For colleges and universities, the arrival of the intelligent era has made most college students confront a new round of knowledge system renewal, especially for students majoring in e-commerce. Therefore, based on the in-depth research and analysis of the characteristics of the intelligent era and the new requirements for e-commerce professionals, this paper creates a curriculum system for e-commerce specialty that reaches the demands of the intelligent era, thereby cultivating e-commerce talents that meets the new requirements.
Numerical simulation of tsunami propagation with Finite Difference Method and Runge Kutta 4<sup>th</sup> Order Method (study case : south coast of Java island)

Abstract Tsunamis are disasters that cause so much damage. In the history of the tsunami, Indonesia has been hit by tsunami several times, based on data from the National Disaster Management Agency (BNBP), as of 1629 - 2007, Indonesia was recorded 184 times affected by large and small tsunami disasters. Based on these data, it is very important for Indonesia to increase security against the tsunami disaster. Also, the tsunami in Indonesia occurred due to earthquakes, volcanic eruptions, and landslides in the sea. This study discussed about to the tsunami with a location located in the southern of Java, precisely in the area of Central Java, considering that in 2017 there was friction between the Indies and Eurasian plates which caused an earthquake measuring 6.9 magnitude, but did not cause a tsunami. In this study, a tsunami wave propagation simulation was carried out with the aim of knowing how long it would take the waves to the shoreline and how high the waves would be when they were on the shoreline. The model used is a tsunami model created by Imamura by solving differential equations using finite difference and Runge-Kutta 4th order. Based on the simulation results with the initial determination of a 5 m tsunami wave centered at a distance of 25 km from the shoreline, Tsunami waves with a height of 8.7 m will arrive at the shoreline at 140 seconds. With wave height is 8.7 m at the shoreline, the water will enter the land or can also be called the tsunami disaster. At that time, residents are expected to have been evacuated from the coastal area. In addition, based on numerical simulations that have been carried out, information is obtained that the computation time of the method is faster than the computation time of the Runge-Kutta method with differences in altitude results that are quite small and can be tolerated. This shows that the Finite Difference method can be applied to tsunami disaster mitigation software because it has a fairly fast computing time compared to the Runge-Kutta 4 th order method.
Contributions of the knowledge economy in economic development A survey of the views of a sample of teaching a number of colleges Kirkuk University

The study sought to determine the role of the knowledge economy indicators in achieving economic development in a number of faculties of the University of Kirkuk, as it is the knowledge economy indicators of important indicators in educational organizations and that which can check these organizations and economic development, and is characterized in its performance and achieve well-being of society and achieve goals efficiently and effectively. And the limited studies that have looked at the relationship between the impact of these variables, particularly in the Iraqi environment, the researcher sought to include this current study Bmngaradtha within a holistic framework in an attempt to study the relationship between them and the impact overall, this study attempts to answer the following questions: 1.What is the perception of workers surveyed for knowledge and economic development in the economy of the requirements of educational organizations? 2.What is the role and impact of the knowledge economy in economic development? : The study found a set of conclusions, including -There was a significant correlation between the knowledge economy and economic development indicators relationship. -There is a significant effect of the indicators of the knowledge economy in economic development. Depending on the findings of the study has a number of proposals made consistent with these findings.
Robust Facial Expression Recognition using Gabor and LDP Feature Fusion using CCA

Facial Expression recognition has become vital considering its numerous applications including Human Computer Interaction, security, medical field etc. In order to effectively implement these applications, the proposed method aims to increase the overall accuracy and robustness of the recognition system. Fusion of two feature extraction methods, namely Gabor and Local Directional Pattern (LDP) that are complementary in nature is carried out. Gabor Features focuses on the structural details whereas LDP targets the textural and subtler details in a robust manner. Fusion is carried out using Canonical Correlation Analysis (CCA) based fusion, as it effectively utilizes the correlation between the two features for fusion. For the efficient training of the classifiers, optimal feature vector is obtained by projecting the original feature vector on Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) subspace. To prove the robustness of the proposed method, it is tested on benchmark datasets under ideal as well as different conditions such as noisy environment, low resolution, small sample space, different facial components etc. The method has shown better performance than the state of the art methods.