Reviewerly/exHarmony huggingface dataset:
A Fast Path Planing Solution For Multiple Obstacle Spaces

Abstract Among the many path planning algorithms, the RRT* algorithm and the Informed RRT* algorithm are the most popular. Both of them can complete the single path planning effectively. However, because the planning effect of these algorithms is limited by the number of iterations, the optimal solution cannot be planned in a limited time. Therefore, a new algorithm-Self-Optimizing Growing Tree (SOGT) is proposed in this paper. On the premise of ensuring complete probability, heuristic bias sampling is used to improve the efficiency of the algorithm to explore free space. Then, the initial path is optimized by the maximum distance and the inflection point optimization using prior information to obtain an optimal path. In the simulation experiments, we give the comparison results of numerical simulations of SOGT algorithm, RRT* algorithm and Informed RRT* algorithm. The experiment proves that the SOGT algorithm can get an optimal path in less time, which fully reflects the characteristics of the algorithm with good real-time performance and strong adaptability.
An Initial Performance Analysis of Graph Predicate Evaluation over Partial Models

Graph-based modeling tools are widely used during the design, analysis and verification of complex critical systems.Those tools enables the automation of several design steps (e.g., by model transformation), and the early analysis of system designs (e.g. by test generation).The evaluation of complex graph predicates (or graph pattern matching) is a core technique in modeling and model transformation, and essential in scalable graph generation.This motivated the integration of industrial graph pattern matching tools directly to advanced data structures used in model checking and logic reasoning algorithms.In this paper we provide a report of a preliminary performance benchmark combining the incremental graph pattern matching algorithm of the Viatra framework with hash tries used for state space exploration on partial models.
Changes in Meaning of Terms on BNPN Social Media Poster in the Post-Covid-19 Period

This study focuses on the form and the meaning of words used in posters uploaded to a Facebook account by BNPB (National Disaster Management Authority) during the COVID-19 pandemic.The poster is a means of communication to present information, suggestion, or ideas in such a way that it attracts people to read the message contained.This study aims to find; 1) the morphological process of vocabulary on BNPB social media posters during the covid-19 pandemic, 2) changes in the meaning of vocabulary in BNPB social media posters during the covid-19 pandemic.This research is library research that applies a descriptive qualitative approach.The data are obtained from the BNPB Facebook account and downloaded from October 2020 to July 2021.The data are collected through observation: reading, taking screenshots and taking notes.Furthermore, the data are analyzed in stages; with classification of data through a morphological process.Then, the data are analyzed using semantic theory to determine changes in the meaning of euphemism and dysphemia.During the pandemic, the morphological processes and changes in meaning on BNPB social media accounts tend to change, such as euphemisms or dysphemia.
VGTC Lifetime Achievement Award

The 2022 IEEE VGTC Virtual Reality Lifetime Achievement Award goes to Gudrun Klinker of the Technical University of Munich, in recognition of her lifetime contributions to the development of ubiquitous augmented reality systems.
The Development of Service Design in the Medical and Health Industry

With economic development and social progress, medical and health design has received more and more attention and &#x0D; has become a national health and safety issue. Today, people are no longer limited to “seeking medical treatment”, but when they &#x0D; are healthy. “Preventing disease”, seeking a better quality of life through medical means, as a result of which medical products and &#x0D; services are more closely linked to people’s lives, and China’s medical and health industry has ushered in a historic opportunity &#x0D; for rapid development. The current medical services have some drawbacks, so the methodology provided by the service design &#x0D; concept can guide how to better serve the medical field, aiming to provide solutions based on the service design concept, and then &#x0D; meet the expectations of patients for the medical service experience.
PENDAMPINGAN PEMBUATAN WEBLOG DALAM UPAYA MENINGKATKAN LITERASI BERBASIS KOMPUTER (STUDI KASUS SANTRIWATI PMDG PUTRI KAMPUS 2)

This article is an adaptation of the evaluation results of an innovative approach realized in the students of PMDG Putri Kampus 2 who have not used blogs at all. Blog as an interactive and efficient homepage to be managed allows students to be trained in computer-based literacy improvement. With the survey conducted on 28 students of grade 5 KMI or Kulliyatul Mu'allimat Islamiah, it will present different perceptions of each individual. The santriwati who responded to the distribution of the survey form were students who actively participated in the Introduction and Creating Weblog Training. The training was held to measure how much blogs play a role in the students' ability to improve literacy skills.
REPOSITORIES OF HIGHER PEDAGOGICAL EDUCATION INSTITUTIONS: NEW OPPORTUNITIES FOR SCIENTIFIC LIBRARIES

On the basis of the content analysis of substantial filling of repositories of participating libraries of network of educational libraries, key indicators of activity of library institutions of institutions of the higher pedagogical education in the context of respect for the principles of open science are considered. Scientific metrics of the above principles are given, determining scientific searches in line with differentiation of the typical composition of the institutional repository digital content in accordance with the following requirements: determination of quantitative indicators of scientific and educational materials loaded into repositories; Establishing the structure of funds, sub-funds, thematic collections and institutional repositories; Identification of their distribution on the Internet. On the basis of the established sample of libraries of higher educational institutions, general statistical indicators of the typical content of institutional repositories are established and presented. The activities of scientific libraries of higher educational institutions in the process of improving the presentation of user and analytical services in the content, which will promote published documents, will make it possible to monitor the number of views and downloads of documents in institutional repositories. Viewing the web pages of institutional repositories of libraries confirmed the author’s statement: library structures form and technologically accompany the process of meaningful formation of institutional repositories by means of developing thematic electronic collections, expanding the base of educational resources and recording the results of scientific research in the public domain. So, in the structure of information support for training and scientific research in institutions of higher pedagogical education carried out by library structures, we observe two innovative trends: traditional communication channels of perception of the library institution are expanded in accordance with modern requirements and principles of open science, in particular, through an increase in the typical composition of digital content and a modification of the information and analytical range of activities of scientific libraries of institutions of higher pedagogical education.
THE EFFECT OF PUBLIC SERVICE MOTIVATION AND JOB SATISFACTION ON EMPLOYEE PERFORMANCE WITH EMPLOYEE COMMITMENT AS A MEDIATION VARIABLE AT JABAL GHAFUR UNIVERSITY

This study aims to examine the effect of public service motivation and job satisfaction on employee performance with employee commitment as a mediation variable at Jabal Ghafur University.The population was all employees of Jabal Ghafur University, totaling 41 employees.The number of samples was determined as 41 employees through the census technique.Data were analyzed through Partial Least Square (PLS).The direct test results conclude that public service motivation affects employee commitment and employee performance, Job satisfaction affects employee commitment but not employee performance, and Employee commitment affects employee performance.These results prove that the model for improving employee performance at Jabal Ghafur University is a function of increasing Public Service Motivation, Job Satisfaction, and Employee Commitment.An increase in Public Service Motivation can have a direct impact on improving performance and it can also be through an increase in commitment first, while an increase in satisfaction will only result in an increase in commitment first and will then have an impact on increasing performance.
English Language Proficiency of Senior High School Students

This paper aimed to determine the English language proficiency of senior high school students as input for the language extension program at Gammad National High School. Specifically, it determined the students’ proficiency level on the eight (8) parts of speech; the reading comprehension level along literal, interpretative, evaluative, and integrative; and the reading comprehension level on different genres such as a poem, essay, and short story. A descriptive research design was employed in the study. The fifty-one (51) respondents of Grade 11 senior high school students at Gammad National High School were chosen using the total enumeration technique. An 82-item proficiency test was used as an instrument in gathering the data. Weighted mean was used in analyzing the data. Results of the study show that among the eight parts of speech, the senior high school students performed well in using adverbs, prepositions, and interjections but found it problematic of using verbs. On reading comprehension, the respondents excelled under literal level across all genres but not on integration and evaluation levels. The study concluded that the respondents are “Proficient User of English” or “High” level in using grammar and reading comprehension. They have mastered the basics of using the English language; however, they need to be exposed more to meaningful activities and varied texts to attain a high level of proficiency.
Using images of partially visible chart for multi-camera system calibration

Making it possible to use images in which the calibration chart is only partially visible makes the geometric calibration of multi-camera system much more efficient as well as more accurate and robust.This is particularly true in the case of systems involving a larger number of cameras and wide field of view cameras with significant radial distortion.The calibration tool developed by us that uses a checkerboard chart with AprilTags is described, and the benefits of using such a tool compared to the traditional checkerboard chart calibration are demonstrated.The provided examples using both synthetic and real data sets illustrate the impact of the requirement that all chart points must be detected on the spatial distribution of the corner points used for calibration and the accuracy of the geometric calibration.
Health-Related Information Seeking During COVID-19: Testing the Comprehensive Model of Information Seeking on University Students of Pakistan

The study revolves around online health related information seeking.Hypothetically, the use of social media and other internet-based platforms is becoming common.This information seeking behavior further leads to self-medication which can be dangerous, so it requires theoretical attention.While many studies have been conducted to cover this behavior, there was a need to explore this area in the context of Pakistan.Internet is the focus of this study which is further subcategorized into other media forms like Social Media, Google Search, Online Web T.V./Radio and E-Magazines/Papers.Data was gathered using purposive sampling technique from the intended population (N = 300) and to examine the data.Findings of this study indicated that the relationship of information-carrier characteristics and online health information seeking was significantly mediated by utility of information channel.On the other hand, utility was significantly predicted by beliefs, interest, and information-carrier characteristics.Furthermore, direct experience and salience are not significant predictors of utility of online health information seeking.The study also helped elaborating the extensions of comprehensive model of information seeking, which are helpful in applying this model in context of the latest digital media.
Automation of noise sampling in deep reinforcement learning

The actor-critic models are generally prone to overestimation of sub-optimal policies and Q-values. Our proposed approach is established on value-based deep reinforcement learning algorithm also known as twin delayed deep deterministic policy gradient algorithm or TD3. The suggested approach is used to solve complex reinforcement learning problem like half-humanoid robot, ant, and half-cheetah to cover a path. This problem can only be solved with an algorithm which can work on continuous-action spaces, without much delaying the result to propagate during the inference of model. The proposed model has been adapted to converge faster to optimal Q-values. The TD3 uses two deep neural networks for learning two Q-values, viz., Q1 and Q2; in the proposed approach the Q-values average is being taken as an input for final Q-value unlike the other reinforcement learning algorithm such as DDPG which is prone to overestimate the Q-values. The proposed approach has also made self-adjusting noise clipping function, which make it harder for the policy to exploit Q-function errors to further improve performance.
PELAKSANAAN &amp; EVALUASI PERKULIAHAN PENGENALAN TIPOGRAFI SECARA DARING SEBAGAI RESPON TERHADAP PANDEMI COVID-19

Typography is an essential skill for visual communication design. Teaching foundational typography is often a challenge due to its nature, and with the COVID-19 Pandemic, adapting the teaching for typography has been a challenge. To develop the online teaching of typography, the author conducted classroom action research on the Introduction to Typography course on Universitas Pelita Harapan in the 2020/2021 academic year. There were 49 students in three classes that participate in this research. The class consists of four learning projects: Alphabetography, Type as Image, Typographic Contrast, and Quotes Poster Design; and also 10 Quizzes. After one semester, the result and grades of the 2020/2021 students increased compared to the 2019/2020 students. The author hopes that the classroom action research can become a basis for the next teaching and research cycle.
Android-based mixed arithmetic operation learning media for mentally retarded students at SLB-C Dharma Rena Ring Putra II

The community service at SLB-C Dharma Rena Ring Putra II aims to improve students' understanding of mathematics, especially in the subject of mixed arithmetic operations using the MUTU (Mudah Berhitung) application. In their daily life, mentally retarded students at SLB-C Dharma Rena Ring Putra II are quite difficult in participating in mathematics learning, because they only rely on textbooks, so students cannot focus and the learning process is less than optimal. The service method is carried out in 3 stages, pretest-assistance-posttest. Comparison of pretest and posttest scores showed an increase in the average ability of students in understanding the material and solving mixed arithmetic operations, from 38 to 79. The results were used as a reference for mentally retarded students to improve their understanding of mixed arithmetic operations and become a reference for learning media for teachers at SLB-C Dharma Rena Ring Putra II.
The Influence of Labeling Techniques in Classifying Human Manipulation Movement of Different Speed

In this work, we investigate the influence of labeling methods on the classification of human movements on data recorded using a marker-based motion capture system. The dataset is labeled using two different approaches, one based on video data of the movements, the other based on the movement trajectories recorded using the motion capture system. The dataset is labeled using two different approaches, one based on video data of the movements, the other based on the movement trajectories recorded using the motion capture system. The data was recorded from one participant performing a stacking scenario comprising simple arm movements at three different speeds (slow, normal, fast). Machine learning algorithms that include k-Nearest Neighbor, Random Forest, Extreme Gradient Boosting classifier, Convolutional Neural networks (CNN), Long Short-Term Memory networks (LSTM), and a combination of CNN-LSTM networks are compared on their performance in recognition of these arm movements. The models were trained on actions performed on slow and normal speed movements segments and generalized on actions consisting of fast-paced human movement. It was observed that all the models trained on normal-paced data labeled using trajectories have almost 20% improvement in accuracy on test data in comparison to the models trained on data labeled using videos of the performed experiments.
Kecerdasan Emosional, Perilaku Belajar, Kompetensi Dosen dan Tingkat Pemahaman Akuntansi

The purpose of the study was to obtain empirical evidence regarding the influence of emotional intelligence, learning behavior, and lecturer competence on the level of accounting understanding. The study involved students majoring in accounting for the 2016-2017 undergraduate program, Faculty of Economics and Business, Udayana University. The number of samples taken as many as 117 student respondents using purposive sampling method. Data was collected by means of a questionnaire. The analysis technique used is multiple linear regression analysis technique. The results of this study indicate that learning behavior and lecturer competence have a positive and significant effect on the level of accounting understanding. While emotional intelligence has no effect on the level of understanding of accounting.&#x0D; Keywords: Emotional Intelligence; Learning Behavior; Lecturer Competence; Accounting Understanding Level.
Teaching Programming during COVID lockdowns – a positive lesson

Teaching Programming during COVID lockdowns – a positive lesson. As an immediate response to the economic impact of COVID, in 2020 regional UK governments promoted short-term funded university courses to enable individuals that were redundant or furloughed to reskill in the area of software development. One of the courses developed was a novel Post Graduate Certificate in Software Development (Cert), based on a well-established MSc in Software Development (conversion) course (MSc SD) delivered at a local University. The course attracted over 700 applications, enabling the application of higher entry criteria than the MSc SD. Differences in the entry criteria and delivery format (entirely online for Cert) presented a unique Action Based research opportunity. This paper initially reports on course performance of the Cert in comparison to the MSc SD. It then provides an analysis of impact and differences within the enhanced entry criteria for the Cert. Providing discussion and recommendations for entry criteria and delivery mechanisms for similar courses.
Enhanced Secured Model for Smart Homes Using Human Activity Recognition and User Behaviour Analysis

This paper proffers a secured and cost effective solution for capturing data, translating this data into pre-labeled activities and then further categorizing these activities into behaviors which are either normal or abnormal based on a generated training dataset. In this research, a wooden smart home prototype was constructed with sensors and actuators in order to capture activities in the home. The sensors and actuators are interfaced with the Human Activity Recognition model which was developed using Gaussian Naïve Bayes algorithm. Output from the HAR model is passed as input into a second model which we refer to as the User Behaviour Analyser (UBA). The UBA was developed using the Support Vector Machine algorithm. This second model makes the final prediction of whether the home is safe or not based on its training. The solution is built around the raspberry Pi 4 computer board running the linux-based raspbian O.S. Experiments were performed on the developed system which gave an Accuracy of 95%, Precision 100%, Recall 92% and F1_Score of 96%. Keywords; Activity Recognition, User Behaviour Analysis, Smart Home, Internet of Things, Security.
Kafka based LSTM model for streaming data prediction

In the current technological world, the data is getting generated abundantly through various sources. The time dependent data generated through sensors is one among them. The most of the time dependent or time series data is streaming in real-time onfixed flow rates and sometimes, it will be on variation. When there is a change or no change in the flow of data, the existing state of the art prediction models provides low accuracy of prediction. Hence, it is proposed to have better accuracy of prediction on the streaming data with LSTM and Kafka Framework. The Kafka-LSTM model performed much better than the other conventional models. The models were evaluated using mean absolute error and root mean square error. The proposed method performs with better accuracy and reduced error rate than the other conventional models.
Student’s Perception of Using Online Learning Environment in Writing Class During Pandemic Covid-19

Student’s Perception of Using Online Learning Environment in Writing Class During Pandemic Covid-19. Objective: This study aims to analyses students’ perception of using online learning in writing class during pandemic covid 19. Methods: The method used in this research is descriptive The subject of this research was 51 students of English Education Study Progra which only took in semester 2 and 4. Findings: The result of this research in indicator of students’ participation with mean score 3,68 in high category. In indicator effect of online learning with mean score 3,67 in high category. In indicator teacher’s role as facilitator with mean score 3,61 in medium category. In indicator of social context with mean score 3,72 in high category. Conclusion: Majority of students agree that in pandemic situation online learning is a facility that can be used in learning process especially in writing class. Keywords: perception, online learning, writing class. Abstrak: Student’s Perception of Using Online Learning Environment in Writing Class During Pandemic Covid-19. Tujuan: Tujuan penelitian ini adalah menganalisis persepsi mahasiswa tentang penggunaan pembelajaran online di kelas menulis pada pandemi covid 19. Metode: Metode penelitian ini menggunakan metode deskriptif kuantitatif. Subjek penelitian ini adalah 51 mahasiswa Program Studi Pendidikan Bahasa Inggris yang terdiri dari mahasiswa semester 2 dan semester 4. Temuan: Hasil penelitian pada indikator partisipasi mahasiswa dengan rerata skor 3,68 pada kategori tinggi. Pada indikator pengaruh pembelajaran online dengan rerata skor 3,67 termasuk dalam kategori tinggi. Pada indikator peran guru sebagai fasilitator dengan rerata skor 3,61 pada kategori sedang. Pada indikator konteks sosial dengan rerata skor 3,72 termasuk dalam kategori tinggi. Kesimpulan: Mayoritas siswa setuju bahwa dalam situasi pandemi, pembelajaran online merupakan fasilitas yang dapat digunakan dalam proses pembelajaran khususnya di kelas menulis. Kata kunci: persepsi, pembelajaran online, kelas menulis. DOI: http://dx.doi.org/10.23960/jpp.v12.i1.202211