Reviewerly/exHarmony huggingface dataset:
Cyber Human Interaction

Cyber human interaction is a broad term encompassing the range of interactions that humans can have with technology. While human interaction with fixed and mobile computers is well understood, the world is on the cusp of ubiquitous and sustained interactions between humans and robots. While robotic systems are intertwined with computing and computing technologies, the word robot here describes technologies that can physically affect and in turn be affected by their environments which includes humans. This chapter delves into issues of cyber human interaction from the perspective of humans interacting with a subset of robots known as assistive robots. Assistive robots are robots designed to assist individuals with mobility or capacity limitations in completing everyday activities, commonly called instrumental activities of daily living. These range from household chores, eating or drinking to any activity with which a user may need the daily assistance of a caregiver to complete. One common type of assistive robot is the wheelchair mounted robotic arm. This device is designed to attach to a user's wheelchair to allow him or her to complete their activities independently. In short, these devices have sensors that allow them to sense and process their environment with varying levels of autonomy to perform actions that benefit and improve the well-being of people with capability limitations or disabilities. While human robot interaction is a popular research topic, not much research has been dedicated with regard to individual with limitations. In this chapter, we provide an overview of assistive robotic devices, discuss common methods of user interaction, and the need for an adaptive compensation framework to support potential users in regaining their functional capabilities.
On Algebraic Properties of Inverse Fuzzy Languages

Aims/Objectives: In this paper, we investigate some of the algebraic properties of inverse fuzzy languages. We proved that a fuzzy automaton is inverse if and only if the transition monoid is an inverse monoid. A fuzzy language is an inverse fuzzy language if the minimal fuzzy automaton recognizing that fuzzy language is an inverse fuzzy automaton. We also discuss some more properties of an inverse fuzzy language based on the fact that an inverse monoid is one which is regular and idempotent commute.
Pemodelan dan prediksi jumlah penumpang pelabuhan bakauheni selama periode tsunami Selat Sunda menggunakan autoregressive integrated moving average

Bakauheni Port is a ferry port located in Bakauheni District, South Lampung. This port is one of the major ports located on Sumatera island connecting Sumatera and Java and is located in the Sunda Strait. The tsunami that occurred in the Sunda Strait on December 22, 2018 indirectly affected the sea crossing node, especially the Bakauheni-Merak route. This can lead to changes in time series data patterns. The phenomenon is expected to be captured through a mathematical modeling that can be used as a decision making in the future. The purpose of this study was to model and predict the number of Bakauheni port passengers during the Sunda Strait Tsunami period using the Autoregressive Integrated Moving Average (ARIMA). The ARIMA approach uses past information as a basis for modeling. Based on visual information on the number of Bakauheni Port passengers, there was an increase in December in general. Other information is that there are seasonal patterns that occur with a span of 7 days. This was indicated by the pattern of repeated increases in the number of passengers every Sunday. After the tsunami, the number of passengers decreased for 2 days. In the 3 days after the Tsunami or during the Christmas holiday on December 25, 2018, the number of passengers has increased again. Based on the analysis and discussion that has been done, the best time series model obtained is ARIMA([5],1,2)(2,1,0)7 with a Mean Absolute Percentage Error (MAPE) of 9.55%.
ACTUAL PROBLEMS OF TEACHING SOCIAL AND HUMANITARIAN DISCIPLINES IN THE CONDITIONS OF TRANSFORMATION OF MODERN TECHNICAL EDUCATION

The article considers the features of transformation of technical education in the conditions of formation of a digital society.The authors reveal the role of human capital in the modern economy, which is carried by University graduates.The use of the predictive method helped to analyze the requirements that the digital economy will soon impose on students of technical universities.The main competencies necessary for a modern professional are highlighted, which include not only theoretical and applied engineering knowledge, but also an aggregate of new professional and socio-cultural competencies.The authors consider in detail the internal content of soft skills, which they understand as a key intangible asset in the structure of human capital.It is proved that only social and humanitarian disciplines are fully capable of providing the formation of these soft skills.The authors conclude that it is necessary to strengthen the role of social and humanitarian knowledge in technical education, since it meets the needs of the digital society and can ensure the unity of intuitive, emotional, visual, and logical thinking of a modern specialist.
SISTEM INFORMASI PENERIMAAN DAN PENGELUARAN BARANG PADA CV.KARUNIA PRAKARSA MANDIRI

Karunia Prakarsa Mandiri is a business entity engaged in the sale of agricultural products needs (such as fertilizer materials, fertilizers, farm equipment, etc.). At the CV. Karunia Prakarsa Mandiri transactions receipts and expenditures have been made to record data on revenues and expenditures into the book of the transaction by the administration. The information system can be withdrawn designing or designing a good system, it is the operating steps in the data processing systems and procedures to support the operation of the system. And the purpose of the information system globally are bracing data processing system with the help of computers. Receipt of goods is defined as the activity of receipt of goods or materials based on receipts, expenditures are expenditures activities or materials in accordance with the list of receipt of goods from work units or departments that need. Methods of data collection in the preparation of this paper uses the method of observation, interviews, and literature. The results of this research is the application that will enhance the effectiveness of data processing and data reception determining inventory expenses in any period ahead.&#x0D;
ACTIVE CONTOUR AND LEVEL SET USING SEGMENTATION IN MEDICAL IMAGES

Image processing is a method to perform some methods on the image to get enhanced image and get some useful information from the image.Segmentation of the image refers to extraction of important information from the specific region of the image.There are two methods used for segmentation of the image i.e.Level set function and active contour method.The level set function is used to define the outline of the object and active contour is boundary based segmentation of different medical image.Active contour is used in CT images, MRI and cardiac images and different regions of human body
Implementasi Algoritma TEA dan Pontifex Dalam Keamanan Data File Dokumen

Data security is one of the most important aspects in information technology. With a high level of security, hopefully the information presented can be maintained its authenticity. In this final project a system that secures data and information stored on the computer from cryptanalysts is formed. The steps that the author did to make the process of forming the system include the stages of problem analysis, algorithm and flowchart along with modeling the structure of the program and design of the application interface, so that the application formed becomes easy to use and has optimal functions. By using TEA and pontifex algorithms which are secret key cryptographic algorithms, these problems can be overcome. The strength of this algorithm lies in the feistel network (including substitution operations, permutations and modular arithmetic) and delta numbers derived from the golden number.
Pengembangan Bahan Ajar Menulis Puisi dengan Perpaduan Model Demonstrasi dan Teknik Beriur Kata Kelas VIII SMP

The purpose of this study (1) to test the development of poetry writing teaching materials planning with a combination of demonstration models and class VIII word giving techniques in junior high school; (2) test the feasibility of the design of poetry writing teaching materials with a combination of demonstration models and class VIII word grammar techniques; and (3) testing the effectiveness of developing poetry writing teaching materials with a combination of demonstration models and class VIII word syllabic techniques. This development research refers to the 10 stages of Borg &amp; Gall which are simplified into 3 stages, namely information gathering, product manufacturing planning, and product development. The results showed that the development of planning poetry writing teaching materials with a combination of demonstration models and class VIII word syllabary techniques has 14 important parts. The average score of assessment and validation by media experts, material experts, and Indonesian language teachers was obtained 4.43, this value means teaching poetry writing material with a combination of demonstration models and class VIII word giving techniques is very suitable to be used as an independent teaching material for students Class VIII Middle School. The results of the trial evaluation and validation of each aspect obtained an average score of 4.58, this value means the teaching material of writing poetry with a combination of demonstration models and class VIII wordbearing techniques is very effective according to the responses of students of class VIII SMP.
Scientific topics in digital reality

The article presents the results of a study of more than two hundred scientific Internet resources, a significant part of which are the sites of scientific journals that have a printed version. The remaining resources are electronic industry and popular science publications, online information portals, community accounts in the blogosphere, social networks, and instant messengers. It is shown that these media products form a modern digital reality. The article presents the results of a study of more than two hundred scientific Internet resources, a significant part of which are the sites of scientific journals that have a printed version. The remaining resources are electronic industry and popular science publications, online information portals, community accounts in the blogosphere, social networks, and instant messengers. Based on the results obtained, it is shown that these media products in a special way form the modern digital reality, complicate and improve it. The creators and authors of scientific publications are journalists specializing in the field of popular science problems, scientists - representatives of the scientific community, as well as web users. The article raises the question of using a systematic approach (a complex of natural science, humanitarian and technological) when creating media resources of the scientific direction as the basis of informative-subject models of scientific and popular science media, complicating and qualitatively improving it. The creators and authors of scientific publications are also journalists specializing in the field of popular science problems, scientists - representatives of the scientific community, as well as web users, which reflects one of the modern trends in the development of media. The article raises the question of using a systematic approach (a complex of natural science, humanitarian and technological) in creating scientific media resources. This will be the basis of substantive-subject models of scientific and popular science media.
Effectiveness of the Modified “Alpabasa”: A Game-Based Program in Teaching Reading among the Grades 3 and 4 Non-Readers

The National Association of Educational Progress (NAEP) report shows that 39 percent of fourth graders fall below a basic reading level; by twelfth grade that figure is still 23 percent. Accordingly, early intervention initiatives should impact those figures in the future to eliminate the segment of students who have significant difficulty acquiring basic reading skills, generally estimated at 20 percent. In response, Filipino innovators founded “Alpabasa”, a game-based program in teaching reading that aims to effectively teach kinder and elementary school children how to read in 18 days. The study made use of the quasi-experimental method, specifically, the pre-post test design to investigate the effectiveness of the modified “Alpabasa”: A game-based program in teaching reading among 60 grade 3 and 4 non-readers of St. Paul University Philippines by incorporating costumes, music, movement, games, theatrical presentations and supplemental activities in learning. Findings show that the exposure of non-readers to the Modified Alpabasa Reading Program resulted in better performance of the students in reading. Through action songs and movement-based activities, pupils are geared to play with language as learning situations are made concrete and realistic; thus, making reading more meaningful, interesting and engaging.
Gambaran Pengetahuan Siswa Madrasah Aliyah tentang Narkoba di Kepanjen Kabupaten Malang

Drugs can lead to crimes such as theft, rape, and murder. The President of Indonesia has declare that Indonesia is in an emergency of drugs abuse. The largest drug users occurred in students with the highest increase at the senior high school level with a percentage of 63.34% or 24,326 students. Behavior of drug user is the result of all human experience and interaction with the environment manifested in the form of knowledge. This research was conducted to know the description of the students' knowledge about drugs in senior high school X Kepanjen district Malang Regency. This research is descriptive research with Cross sectional approach and the quantity of respondents was 54 respondents. Descriptive analysis results show that the majority of respondents have less knowledge with the number of 20 respondents (37%) because the environmental factors and less active role of Stakeholder, especially in the socialization of the knowledge about drugs. Conclusion of this research is the majority of respondents have less knowledge about drugs.
Development of Force Plates Installed with Five-Axis Load Cells and Analysis Using a Wearable Sensor System

In this study, we developed a new force plate system. Conventional force plates output force and moment by using the signals of three-axis load cells. The developed force plate installs four 5-axis load cells, and each load cell can output 3-axis force and 2-axis moment relating to deflection. The moment components of load cells are used for the compensation of cross talk and the calculation of moment in the force plate. The force plate can measure force and moment on the outside of load cells installed in the force plate. Gait measurement and analysis were conducted by using the developed force plate, a conventional force plate, and a wearable sensor system (wearable force plate). The results of the comparison of the developed force plates and the conventional force plate outputs indicated a difference in performance on the outside of load cells.
Analysis of Feature Selection Methods for Text Classification using Multiple Datasets

Text Classification is the process of accommodating different categories of text on the basis of the content. It is a fundamental task of Natural Language Processing (NLP) having varied applications like sentiment analysis, spam detection, topic labelling and intent labelling. The first step of the classifiers is extraction i.e. to convert words and phrases into vectors which refers to the frequency of a word in a predefined dictionary of words. There are various machine learning algorithms that can be used for classification. In this paper, we will implement best first, information gain and gain ratio feature selection on certain classifiers such asNaive Bayes, Bagging, Random Forest and Naive Bayes Multinomial.We will find and compare the Accuracy, Training Time, Testing Time, Mean Absolute Error and Recall for the feature selections for each classifier.It will help to find which classifier and feature selection method is best suited for performing text classification.
Surface normal data guided depth map restoration with edge-preserving smoothing regularization

High-quality depth information is urgently required with their increasingly wide application in many real-world multimedia fields. However, due to the limitation of depth sensing technology, the captured depth map in practice usually owns low resolution and poor quality, which limits its practical application. As we all know, consistency between high-quality color images and low-quality depth maps achieves good effects in depth super-resolution. But the edge inconsistency also limits the recovery of depth map. Inspired by the geometric relationship between surface normal of a 3D scene and their distance from camera, we discover that there are more consistency between surface normal map and depth map in the edge areas. Meanwhile, surface normal map can provide more spatial geometric constraints for depth map reconstruction, for both of them are special images with spatial information, which we called 2.5D images. In this paper, we propose a unified framework, Normal Data Guided Depth Map Restoration with Edge-Preserving Smoothing Regularization (NDEPS) method, via joint spatial domain and gradient domain regularization, one characterizing the relationship between surface normal data and depth in the spatial domain and another edge-aware constraint in the gradient domain. The proposed NDEPS method formulates a constrained optimization problem that can be solved by an iterative conjugate gradient(CG) algorithm. Extensive quantitative and qualitative evaluations compared with state-of-the-art depth recovery methods show the effectiveness and superiority of our method.
Implementasi Metode Super Resolusi Untuk Meningkatkan Kualitas Citra Hasil Screenshot

Various types of image processing that can be done by computers, such as improving image quality is one of the fields that is quite popular until now. Improving the quality of an image is necessary so that someone can observe the image clearly and in detail without any disturbance. An image can experience major disturbances or errors in an image such as the image of the screenshot is used as a sample. The results of the image from the screenshot have the smallest sharpness and smoothness of the image, so to get a better image is usually done enlargement of the image. After the screenshot results are obtained then, the next process is cropping the image and the image looks like there are disturbances such as visible blur and cracked. To get an enlarged image (Zooming image) by adding new pixels or points. This is done by the super resolution method, super resolution has three stages of completion, first Registration, Interpolation, and Reconstruction. For magnification done by linear interpolation and reconstruction using a median filter for image refinement. This method is expected to be able to solve the problem of improving image quality in image enlargement applications. This study discusses that the process carried out to implement image enlargement based on the super resolution method is then built by using R2013a matlab as an editor to edit programs
BRKGA – UM PACOTE DO R PARA PROBLEMAS DE OTIMIZAÇÃO

Nowadays, researchers are often confronted with numerous applications that address problems of high computational complexity.Given the complexity of these problems, the application of exact or exhaustive enumeration methods becomes impracticable.In order to overcome this difficulty, it can be considered the application of algorithms implemented from heuristics or metaheuristics.This work brings R package that contains the BRKGA metaheuristic (function), which can be used simply in several optimization problems.Besides the common arguments of a BRKGA, to use the package, the user just needs to define the function and a decoder for his problem.Two examples of using this package are presented, considering objective functions and decoders for PCV and clustering problem.
EFFICIENT DATA GATHERING IN SUPPORT OF DESIGN ISSUE RESOLUTION IN AN AUTOMOTIVE COMPANY

Abstract When designing complex systems, multiple people contribute to the process of information collection in support of decision making. In this paper, we study information collection in the Issue Resolution Decision Support (IRDS) framework. We assess the difficulties associated with uncertainty in the often scarce data when implementing the framework in a company and map out how the data sources are scattered across the organization. We study the elicitation process and propose to leverage sensitivity analysis to better allocate data collection efforts.
Using Social Media as a Platform to Promote Nutrition Messaging of FLIP

Social media is an ever growing and versatile medium that presents a novel avenue for health promotion and sharing health information. Despite its growth and popularity, literature is limited on how social media can be used for health promotion interventions, particularly related to food and nutrition. The Food Literacy Intervention Program (FLIP) at the University of Alberta is an evidence-based tailored program targeted at families with children aged 3 to 5. FLIP was designed based on the results of a needs assessment to promote healthy eating in children and improve food knowledge and skills of families. In previous years, FLIP was primarily an in-person cooking class for families and children with a limited online component. Parents had expressed a desire for quick and easy access to credible online nutrition. Therefore, over the course of a 12-week MPH practicum, the online FLIP program was developed and implemented for 2019. The goal of the online program was to explore different forms of social media as a platform to reach a larger audience for the promotion of evidence-based nutrition content. Content was produced for Instagram, Facebook, and a blog, and varying strategies were used to tailor the content to each platform. Social media metrics, including reach and engagement, were captured and analysed to evaluate the effectiveness of the program. This project contributes to the knowledge and understanding of the role of social media for promoting health messages and provides a basis upon which future projects can be created.
The Research Context, Latest Hotspots And Evolution Trend Of Global Robots–Based On Visual Analysis Of Citespace

Theoretical research on robots and the development of key technologies is one of the current research hotspots, adopting Citespace as the visualization tool, and with the target literatures of the WOS database as the research object to carry out statistical analysis and content analysis on the research history of robots. The system sorts out the spatial and temporal distribution, knowledge groups, subject structures and hotspot fields, latest researches and evolutionary trends of global robotics research, combined with the nation’s great demands and the latest development of discipline, sets forth the research hotspots and development trends on current robotics, and draws many objective conclusions based on the facts, as well as several challenge problems that need to be solved in hurry in the basic theory and key technologies of the robots are extracted. Points out the current research foundations and deficiencies in this field, and put out direction proposal of the key points in this field for the next 5 to 10 years, which provides theoretical support and practical guidance for the research direction of future robots.