Reviewerly/exHarmony huggingface dataset:
Pemanfaatan Komputerisasi Untuk Perangkat

The development of information technology today has spread and entered every dimension of aspects of human life. The village with all its governmental attributes is an arena that deals directly with the people. Village government is the center of local political power that is personified through the Village Head and his apparatus. The position of the village government is also very important, given the majority of Indonesia's population lives in the countryside. The Village Head and his apparatus as the executor of the village government should have the ability to manage government administration, especially the village apparatus which is directly under the village head, as is the Village Apparatus whose task is to assist the Village Head in the Administration and Technical Services Administration. The existence of village officials who are also entrusted with administrative tasks occupies a very important position because as the lowest organ of the government, they know all the conditions and problems in their area. Thus, village officials in carrying out their daily tasks, especially those related to the presentation the data and information needed, the more hard work and optimal capabilities are demanded in order to facilitate the implementation of government tasks. The function of government is to serve and protect the community. Keywords: Village, government administration, Development and Technical Administration Services
Selected papers from the 19th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks

One key challenge for sensor networks is to provide the real-time high reliable sensor measurements with the minimum resource consumption. Outlier clearance in sensor networks can ensure the quality of sensor measurements and dependable monitoring. In this paper, we propose two online distributed outlier clearance approaches with low computational complexity and memory usage that can identify and remove the spurious sensor measurements. The proposed approaches are operated locally and thus save communication overhead as well as possess good scalability. The evaluation performance of proposed approaches and existing widely used methods on synthetic and real-life dataset illustrates that our Adaptive Top-n WAD approach achieves remarkable outlier clearance performance as compared to these methods.
Comprehensive study and Analysis of Extreme Multi-Label Classification Approach

Due to transformation of analog to digital world, huge volume of data is generated on daily basis.Millions of users are uploading, downloading and searching data on and from Social Media, Wikipedia, YouTube, Amazon, Websites etc.It is essential to analyze and retrieve significant information from millions of users with millions of categories.Hence, this is a challenging task to build classifier which will classify huge amount of data with its relevant subset of categories.In Recommendation System, the main goal is to recommend users based on the available data.However, this traditional recommendation system fails to deal with millions of items or labels in short time span.Extreme Classification approach is the recently introduced research area to tackle large amount of data with multi-label environment for the classification.Extreme Multi-Label classifier will construct model and predict the relevant categories from the large amount of available categories.This paper discussed different approaches for large scale Recommendation System using Extreme Multi-Label Classification Approach and empirical evaluation carried out on three multi-label datasets which handles large volume of the data.
Modelling of Gauss Elimination Technique for Quadratic Optimization

Mathematical modelling aims to describe the different aspects of the real world problems, their interaction and their dynamics through mathematics and optimization.The purpose of this paper is to give a brief taxonomy of an important group of non-linear programming problems (specially Quadratic Programming Problem) which occur in certain branches of applied Mathematics.There exists a variety of decision problems in the field of Mathematical Programming in which objective function contains the product of two linear factors, such problems are known as Quadratic Programming Problems.A new technique has been developed to find the solution of Quadratic Programming Problem (QPP) by modelling of Gauss Elimination Technique of inequalities.The method is quite useful because the calculations are simple and takes least time then earlier existing methods.The technique has been illustrated by a numerical example also.
Overcoming Reinforcement Learning Limits with Inductive Logic Programming

This work presents some approaches to overcome current Reinforcement Learning limits. We implement a simple virtual environment and some state-of-the-art Reinforcement Learning algorithms for testing and producing a baseline for comparison. Then we implement a Relational Reinforcement Learning algorithm that shows superior performance to the baseline but requires introducing human knowledge. We also propose that Model-based Reinforcement Learning can help us overcome some of the barriers. For better World models, we explore Inductive Logic Programming methods, such as First-Order Inductive Learner, and develop an improved version of it, more adequate to Reinforcement Learning environments. Finally we develop a novel Neural Network architecture, the Inductive Logic Neural Network, to fill the gaps of the previous implementations, that shows great promise.
The Overview of Blockchain Technology and it's applications in Diverse Sectors

Technology is the major categories which we are exceling in as we develop our brain from primes to alpha being. During this advancement phase we found a more robust platform for exchanging and storing information that's blockchain. Blockchain could be a decentralized approach to the creation and management. Many sector like banks, internet companies, manufacturing, education and even Government. Across the world everyone are started using blockchain to enhance security, scalability and efficiency. In this paper we present the compressive classification of blockchain application in numerous areas like healthcare, education, IOT, copyright protection, energy and data management. Our works provides the short summary on blockchain application.
Determination of Cumulative Distribution Function of the Crest Value of the Lightning Current Circulating Through Line Surge Arresters

For the selection and design of line surge arresters (LSA), it is essential to know the characteristics of the lightning current circulating through LSA. When lightning strikes a transmission line, only a part of the lightning current circulates through LSA.This part mostly depends on the point of impact, and the characteristic of the lightning stroke current. The determination of the cumulative distribution function of the lightning current circulating through arresters is presented in first part of the paper. It can be applied on transmission lines where LSAs will be installed to protect the line against the effect of atmospheric discharges.Second part of paper presents the calculation results of the cumulative distribution function of the lightning current circulating through arresters for particular 110 kV transmission line located in an area with high lightning activity.
The Innovation of Education in the Era of Artificial Intelligence

With the development of artificial intelligence, the field of education is facing unprecedented challenges and great opportunities—how education will change and how to innovate and develop. Through studying the development of artificial intelligence, analyze the artificial intelligence influence in education, especially the revolutionary change in schools, teachers, and students, in order to have a comprehensive understanding of artificial intelligence, on this basis, explore the path of education innovation, and cultivate new talents to meet the requirements of artificial intelligence development.
Economic socialization of children and adolescents as a pedagogical problem

This article analyzes the process of economic socialization of a person, defines the formation and development of economic behavior in different age groups and different time periods, presents the economic and psychological characteristics of adolescents in the modern world.
Kemahiran Menulis Teks Prosedur Siswa Kelas VII Sekolah Menengah Pertama Negeri 3 Tanjungpinang Tahun Pelajaran 2019/2020

Pury Anggar Astuty,2020. Text skills to write procedures Grade VII Junior High School of Negeri 3 Tanjungpinang year lesson 2019/2020, thesis. Tanjungpinang: Study Program of Indonesian language and literature education, Faculty of teacher training and education, Maritime University of Raja Ali Haji. Supervisor I: Dra. Hj. Isnaini Leo Shanty, M. Pd., Supervior II: Legi Elfitra, M. Pd.This research aims to describe the students ' skills in writing, especially writing the procedure text. This quantitative descriptive research is a study with the technique of writing a written test, namely the test text to write procedures to grade VII students in the state Junior high School 3 Tanjungpinang. This study was conducted with a population of grade VII Junior high School 3 Tanjungpinang and sampled students at random 25% of 128 students representing each class as many as 32 students up to 8 students per class. The results of the research have been conducted a general show of the skills of writing students procedure text is good. After the test of 32 students obtained the test results, namely 3 students with a value of 94 in a very good kuaifkasi, 12 students with a value of 75-88 in good quality, and 17 students with a value of 63-69 in sufficient qualifications. With an average rating of 73 in category B. This indicates that the first grade VII students of the state Junior high School 3 Tanjungpinang year lesson 2019/2020 have been proficient in writing the text of the procedure with the good.
Luminance pyramid for image generation and colorization

Many image processing and machine learning applications require sufficient image feature selection and representation. This can be achieved by imitating human ability to process visual information. One such ability is that human eyes are much more sensitive to changes in the intensity (luminance) than the color information. In this paper, we present how to exploit luminance information, organized in a pyramid structure, to transfer properties between two images. Two applications are presented to demonstrate the results of using luminance channel in the similarity metric of two images. These are image generation; where a target image is to be generated from a source one, and image colorization; where color information is to be browsed from one colored image to another but grayscale image. The results demonstrate the suitability of luminance in achieving the two selected applications.
Software Effort Classification with Multilayer Perceptron Neural Networks

We target the problem of software effort estimation from a classification perspective.Our main goal is to build a classifier that can predict the required effort for a new project and assign it into one of the four classes: small, small-medium, medium-large, and large.A criterion is proposed for the aforementioned categorization and based on the amount of required effort.We study data sets that are based on three different categories: function points-based data sets, COCOMO-based data sets, and project characteristics-based data sets.Feature sets are prepared and fed to the multilayer perceptron (MLP) neural network algorithm.A hold-out test is implemented and ROC curve is used as a measure of the performance of the algorithm.In addition, we identify the important features for building the classification models across various data sets.Generally, MLP shows good performance across the six data sets.Moreover, there is a stability of performance within each category of data sets or across different categories with no dramatic differences in results.However, the performance of MLP seems to decrease with data sets that are based on project characteristics.
OBJECTIVES, FUNCTION, AND TEACHING MATERIAL OF INDONESIAN LITERATURE IN CURRICULUM KTSP AND K13 AT SMA LEVEL

In its teaching, literature undergoes a change in approach along with curriculum changes. This study aims to 1) describe the purpose of teaching literature in curriculum KTSP and K13 at the level of high school; 2) to describe the function of literary teaching in the curriculum of KTSP and K13 in SMA; and 3) to describe the literary teaching materials in the curriculum of KTSP and K13 at SMA level. This research is qualitative descriptive type. The research data is obtained from document archive, informant, and textbook of Indonesian KTSP and K13. Data validity is done by triangulation method and data triangulation. Data collection techniques are content analysis and structured interviews. Data were analyzed interactively. The results of this research are the purpose of teaching literature in KTSP and K13 at SMA level is that students are able to analyze and create literary works, as well as develop individual and social character through literary works. The function of literary teaching in KTSP and K13 is to make literary works as a means of achieving language skills. Third, the literary teaching materials in KTSP and K13 are short stories, poems, plays, novels, reviews.
Phone Hacking Is Real Learn To Protect Your Phone

Gone are the days when celebrities were the only people who had to worry about cell phone hackers. Times have changed, anyone who owns a cell phone can ...
POSITIVE MECHANISMS OF ENHANCING PRODUCTIVITY OF EDCUACTION QUALITY

The article discusses the topics of creation of modern and proper system in nurture and education, importance of responsibility of parents and their collaboration with teachers, using foreign experience if tutoring, significance of national traditions and habits in nurturing.
FaceColor: A Face Beauty Recogonition Model Based on Convolutional Neural Networks

Features generated and used by traditional face recognition algorithms can be considered as shallow features, and deeper high semantic features and their depth features cannot be obtained from the original image. Based on the development of deep learning in recent years, this paper proposes a beauty recognition model, which is named as FaceColor, based on advanced convolutional neural network (CNN) .The model is based on Tensorflow framework developed by Google to match different photos’ beauty features through CNN network and form a beauty feature library by expanding-algorithm. Two special research directions are designed to evaluate the ColorLibrary. Simulations and evaluations show the FaceColor can identify the quantitative level of face beauty, as the feelings of different people of different nationalities or different countries shows different appreciations of the beauty, three improved methods for ColorLibrary have been provided to make the FaceColor more suitable for strong objective applicability.
Talking Hand Gloves

The paper describes an aiding device for the dumb and physically challenged people. Such people are made to wear gloves fitted with flex sensors and tactile switches whose resistance changes with each gesture shown by them. This produces a voltage change and given to the micro-controller which will send the sign language codes corresponding to each gesture to the android app and then sounds the code of sign which is given by hand via the speaker.
Hospital Queuing Recommendation by Using Patient Treatment Time Prediction Model

Now a days, to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals, mostly used Effective patient queue management. Annoying waits for long periods result in substantial human resource and time wastage and which increase the frustration endured by patients. The total treatment time of all the patients before him is the time that he must wait for each patient in the queue. It would be favorable and excellent if the patients could receive the most efficient treatment plan and know the adumbrated waiting time through a mobile application that updates in real time. Hence, we propose a Patient Treatment Time Prediction (PTTP) algorithm to predict the waiting time for each treatment task for a patient. To develop such idea, we use realistic patient data from various hospitals to obtain a patient treatment time model for each task. The treatment time for each patient in the current queue of each task is anticipated which us based on this large-scale, realistic dataset, similarly based on the predicted waiting time, a Hospital Queuing Recommendation (HQR) system is developed. HQR appraises and calls an adequate and convenient treatment plan recommended for the patient. Realistic dataset and the requirement for real-time response, which is result of the large-scale, the PTTP algorithm and HQR system decree competence and low-latency response. We use an Apache Spark-based cloud implementation to achieve the aforementioned goals. Extensive experimentation and simulation results establish the effectiveness and appropriateness of our proposed model to recommend an effective treatment plan for patients to curtail their wait times in hospitals.
LibGuides: Evaluating Information: Overview

Introduction to the types of resources available for research, their purposes, and the value of those resources in research.
Fierz Theory Versus Linear Gravity

The 6 th Conference of the Polish Society on Relativity (POTOR-6) was organized by the Szczecin Cosmology Group on behalf of the Polish Society on Relativity.In the latest years, this series of events has become a regular annual meeting for the Polish scientists active in the field of gravity and related topics, including cosmology, given that the conferences are open to international invited speakers and participants.It was a great honor for the Szczecin Cosmology Group to be the host of the 2019 event, due to the prestige of the Polish Society on Relativity, and because it sounded like a further recognition to the efforts put by its members to make Szczecin an important node of the scientific studies in relativity and cosmology in Poland.The Szczecin Cosmology Group was initially established at the University of Szczecin in the early 1990s because of the initiative of Prof. Mariusz P. Dąbrowski with the support of late Prof. Jerzy Stelmach and now emeritus Prof. Janusz Garecki.Since then, it has grown up till the present team, made of three permanent members (in addition to Prof. Dabrowski, two recently appointed Associate Professors, Adam Balcerzak and Vincenzo Salzano), one senior member (Dr.Tomasz Denkiewicz), and five on-going Ph.D. students, from all over Europe, making it a very open and cosmopolitan team.Apart from a productive research activity finalized in a multiple series of scientific papers published in the most renowned journals, the group has also led the organization of several international conferences.In particular, the group has organized four topical COSMOFUN (COSMOlogy and FUNdamental interactions) events: COSMOFUN 2005 (Pomeranian Workshop in FUNdamental COSMOlogy), GRASSCOSMOFUN'09 (GRASSmanian Conference in FUNdamental COSMOlogy), MULTICOSMOFUN 2012 (MULTIverse and FUNdamental COSMOlogy), and VARCOSMOFUN'16 (VARying constants and FUNdamental COSMOlogy).The POTOR-6 conference has covered all aspects of classical relativity as well as related fields including contemporary theories of unification and quantum gravity.A list of topics included: theoretical and numerical relativity; black holes: classical and quantum aspects; relativistic cosmology; early universe, dark matter, and dark energy problems; gravitational waves; approaches to quantum gravity; quantum cosmology; relation of relativity and superstring theory.This provided the conference was able to cover a diverse area of topics which were rooted in relativity.
AR-based self-learning system of Japanese calligraphy skills

While Japanese calligraphy has been contained by Japanese elementary and secondary education curriculum, teachers in charge of the calligraphy education are not always proficient, since skill of the calligraphy is unnecessary for teachers’ license. To overcome the problematic situation, not only training of teachers but also an ICT-based support system for the students to learn the skill by themselves. Therefore, this paper proposes a system that combines a self-study support system for inexperienced people to learn Japanese calligraphy skills, and a virtual writing system for practicing calligraphy without using ink in a virtual environment. The proposed system is a kind of the augmented reality (AR) system, which consists of a computer, a head-mounted-display (HMD) and a non-contact motion sensor. Firstly, the system introduces AR technology into visualization of expert’s motion data, which is previously recorded from an expert’s action. Secondly, on the system users practice calligraphy by imitating expert’s brush motion on virtual paper. To obtain user's motion, the motion sensor obtains the position and tilt of the brush at each frame. Simultaneously, the system simulates the handwriting from these data and superimposes it on the tip of the brush using AR technology. After user’s practice, the system calculates the differences in brush position, tilt and speed between expert’s brush motion and user’s brush motion by using DP matching and encourages user to improve his/her motion, finally. This system is expected to overcome problematic situations in calligraphy practice.
INNOVATIONS OF INDONESIAN LANGUAGE AND LITERATURE LEARNING IN THE ERA OF SOCIETY 5.0.

The purpose of this article was to describe in depth some of the innovations Indonesian language and literature learning in the era of society 5.0. Innovation of Indonesian language and literature learning is important to do because it is relevant to the vision of society 5.0, namely, to create learning transformation. In this era of society 5.0, people become controllers of technology and society is required to think critically, constructively and innovatively. Language as a medium for expressing thoughts, ideas, and feelings can form people's behavior. The behavior is expected to contribute to the learning of Indonesian language and literature and is relevant to the needs of society 5.0. To achieve this goal there are several innovations that can be performed, namely the implementation of HOTS (High Order Thinking Skills), renewal of futuristic learning orientation, determination of appropriate learning models, development of teacher and lecturer competencies, provision of infrastructure and futuristic learning resources. Keywords: society 5.0., learning innovation, futuristic
ANALISIS STRUKTUR TEKS FABEL SISWA KELAS VII SMP NEGERI 18 MAKASSAR

Analysis Structure Fable Texts Students of Grade VII State Junior High School 18 Makassar. This study aims to describe the structure of fable story text in the writing of eighth grade students of SMP Negeri 18 Makassar on aspects of the fable story text content. The data collection techniques in this study were the writing technique of fable story texts. The research data was obtained through assignments by teachers to students, which were done at school. The results showed that. The use of fable story structure written by eighth grade students of SMP Negeri 18 Makassar which included the use of structure (orientation, complications, resolution and koda) found as many as ten fable stories. 1 fable story that does not have a resolution structure, and there are ten fable stories that do not have a koda structure of a total of 20 fable stories.