Reviewerly/exHarmony huggingface dataset:
Gazebo-Based Simulation Environment Integration for UAS

As motivation for research in unmanned aerial systems (UAS) continues to grow, there exists an ever-present demand for software-based simulation solutions. The objective of this paper is to explore the arrangement and capabilities of an integration solution that combines several open-source applications to establish a simulation environment for UAS. The Gazebo environment and PX4 Autopilot firmware serve as the foundation for the simulation, which then includes the extended functionality of Robot Operating System (ROS) and QGroundControl to provide an applicable solution to the various needs in research and development. The fundamental knowledge regarding the relationships and interoperability of the software used in this arrangement will be explicated. Furthermore, custom modifications for purposes of UAS model creation and pathfinding integration (Rapidly-exploring Random Trees) will be discussed in this manuscript.
Cores 3.0: Future-Proofing Earth Sciences’ Historical Records

Core libraries store a treasure trove of data about the planet’s past. What will it take to sustain their future?
The Derived Process of Derivational Morpheme Found in The Power of a Positive Wife Book

The purpose of the research is to describe the derived process of derivational morpheme found in “The Power of a Positive Wife Book” This study focused on: The derived process of each derivational morpheme used in “The Power of a Positive Wife Book.” Qualitative and supported by quantitative method was used in this research and the data source was “The Power of a Positive Wife” Book. The method used in collecting the data was descriptive qualitative method. The result of the analysis was presented by using formal and informal method. In affixes, have three types as follows: suffix, infix and prefix. There are nine types of derived process of derivational morpheme such as Noun derived from Adjective, Adjective derived from Noun, Noun derived from Noun, Verb derived from Verb, Noun derived from Verb, Adjective derived from Adjective, Verb derived from Noun, Adjective derived from Verb and Adverb derived from Adjective. The frequencies of each kind of derivational morpheme are different to each other. The most frequently occurring were derived adverb from adjective and the most rarely occurring was derived Adjective from Adjective. Derived verb from Adjective and derived adjective from verb were not found in this data source. The total data of derivational morpheme found in The Power of a Positive Wife Book was 195 words.
Adaptive Business Data Visualizations and Exploration: A Human-centred Perspective

Today’s business environments are characterized by an indisputable growth in the volume, complexity and multivariate nature of business processes, data structures and sources. For the business end-users, this is many times an overwhelming and demotivating experience when interacting with rich business data visualizations and scenarios. As they need to explore demanding use cases, create fast an understanding and make informed decisions so to meet their business goals. This position paper addresses this challenge by introducing a human-centred model that consists of four main dimensions: User, Visualizations, Data, and Tasks, and which is maintained at the core of an adaptive data analytics platform in the business domain. The aim is two-fold: To provide (a) best-fit representation of data for the unique end-users, and (b) personalized and transparent path of exploration towards accomplishing purposeful end-to-end business activities. Thus, enabling explainable and intuitive interactions for accurate decision making and problem solving – saving time and costs.
Pengaruh Umpan Balik (Feedback) Guru Terhadap Keterampilan Menulis Anak pada Pembelajaran Bahasa Indonesia Kelas V SDN 2 Dragan

Feedback is the simple things but its having big influence to the students written skills. This research is aimed at feedback influence towards teacher’s written feedback 5th grade students. Three research questions were formulated in this study. (1) What types of written feedback does the teacher give on the students’ writing? (2) What categories of written feedback does the teacher give on the students’ writing? and (3) What are the teacher’s influences feedback towards student’s written skills in Indonesian subject in grade 5th?. The respondents of this study were 5th grade students of SD N 2 Dragan. This research belongs to descriptive qualitative. The main research instrument was the teacher’s influences feedback towards student’s written skills in Indonesian subject in grade 5th. The data were taken from the students‟ writing. The reseacher collected the students‟ writings that contain teacher‟s written feedback. The researcher used three instruments to gather data from the respondents: (1) Field note, (2) Questionnaire, and (3) Interview. The data analysis technique is the process of data arrangement and data categorization. In this study, the reseacher used triangulation to analyse the data.The result of descriptive analysis show that teacher‟s mostly gave feedback in direct way. Based on the third research question, it was discovered that (1) the students prefer written feedback than oral feedback (2) teacher‟s written feedback was objective, (3) teacher‟s written feedback was clear, (4) teacher‟s written feedback assisted the students (5) teacher‟s written feedback was encouraging, and (6) the students never had negative effect of the teacher‟s written feedback (7) teacher‟s written feedback did not disturb the process of writing (8) the teacher often gives feedback to the students.
Solving Optimization Problem in Face Recognition based on Filtering and Face Position

For the sake of improving the system of face recognition, there are different conditions that should be taken into considerations like low-resolution face images, facial emotions, and varying illumination conditions. This paper proposed a new algorithm which is invariant to the quality of the face image and conditions of illumination in some Environments. The basic operations of preprocessing are getting face edges after decrease noise from the image, especially in the sensitive system.  It based on different edge operators pre-processing. Second-order derivative filters are used to obtain scatter of face edges. To investigate this issue clearly, a range of threshold values for each edge detection filter is applied. As a new method to find face position in the image, a double k-mean process used in this algorithm to find the position of the face in an image. Principle components analysis is used to reduce data and for feature extraction. Finally, a neural network has been applied as a classifier to make a decision. BIOID databased is used in training and testing phases. based on experimental results, the presented methods have accomplished A promised results with a high level of classification accuracy
Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data

Author(s): Keuleers, Emmanuel | Abstract: Two assumptions of psycholinguistic research are that text corpora can be used as a proxy of the language that people have been exposed to and that the reaction time with which people recognize words decreases with the probability (or frequency) of the words in a corpus. We propose a method that produces topic-specific word probabilities from a text corpus using latent Dirichlet allocation, then combines them to fit lexical decision reaction times and re-estimates word probabilities. We evaluated how well independent lexical decision reaction times could be predicted from re-estimated word probabilities compared to original probabilities, using independent lexical decision data. In an experiment designed to prove the concept, the re-estimated word frequency model explained up to 9.6% of additional variability in reaction times on group level and up to 2.9% on level of individual participants.
Integrity of Generalized Transformation Graphs

The values of vulnerability helps the network designers to construct such a communication network which remains stable after some of its nodes or communication links are damaged. The transformation graphs considered in this paper are taken as model of the network system and it reveals that, how network can be made more stable and strong. For this purpose the new nodes are inserted in the network. This construction of new network is done by using the definition of generalized transformation graphs of a graphs. Integrity is one of the best vulnerability parameter. In this paper, we investigate the integrity of generalized transformation graphs and their complements. Also, we find integrity of semitotal point graph of combinations of basic graphs. Finally, we characterize few graphs having equal integrity values as that of generalized transformation graphs of same structured graphs.
Hubungan Antara Pemanfaatan Perpustakaan Sekolah Dengan Hasil Belajar Siswa

As a human being equipped with intellect, it can be understood the importance of libraries in an effort to support the dynamics of academic activities for all elements at school in Metro in particular and society in general. Research to be conducted by the authors in this study is a quantitative study. In quantitative research the process of collecting data is done directly or plunged into the field. Based on the results of data analysis conducted, it can be concluded as follows: No significant influence is obtained from the results of chi-square calculated with chi-square table. By using two-party test, we get chi-square table value (x2tabel) at 1% significance level equal to 13,227 and for 5% significance level equal to 9,467. Thus, the calculated chi-square value (x2count) of 0.423 is smaller than the chi-square table at the significance level of 1% and the 5% significance level then Ha is rejected and Ho is accepted.
SOSIALISASI DAN PENYULUHAN PEMANFAATAN ENERGI TERBARUKAN DI LINGKUNGAN SMK TRI DARMA PALEMBANG

Electrical energy is one of the basic needs in human life. The available electrical energy comes from fossil energy whose supplies are running low. The purpose of this community service is to provide renewable knowledge, one of which is the use of solar energy as a renewable energy in everyday life. Community service activities for students of SMK Tri Darma Palembang in the form of socialization on the introduction of renewable energy sources, intelligence with the use of solar cells as an alternative energy, then demonstrating the use of solar cells in household electrical installations. At the time of demonstrating the PLTS, there were no running paths, the activities ran smoothly and the enthusiasm of the students of SMK Tri Darma was very high in paying attention and asking questions about the process of generating electricity using solar energy (PLTS) This community service activity was very beneficial for students at SMK Tri Dharma Palembang because the material presented at this community service is material that is not given to the lessons delivered at the SMK Tri Darma Palembang Energy Technology in the form of the use of new energy in everyday life.
A design of a multi-agent recommendation system in a pandemic condition based on ontologies and rule-based reasoning

Learners attend their courses in remote or hybrid systems find it difficult to follow one size fits all courses. These difficulties have increased with the pandemic, lockdown, and the stress they cause. Hence, the role of adaptive systems to recommend personalized learning resources according to the learner's profile. The purpose of this paper is to design a system for recommending learning objects according learner's condition, including his mental state, his COVID-19 history, as well as his social situation and ability to connect to the e-learning system on a regular basis. In this article, we present an architecture of a recommendation system for personalized learning objects based on ontologies and on rule-based reasoning, and we will also describe the inference rules required for the adaptation of the educational content to the needs of the learners, taking into account the learner’s health and mental state, as well as his social situation. The system designed, and validated using the UML modeling language. It additionally allows teachers to have a holistic view of learners’ progress and situations.
A Novel Deep Clustering Method and Indicator for Time Series Soft Partitioning

The aerospace industry develops prognosis and health management algorithms to ensure better safety on board, particularly for in-flight controls where jamming is dreaded. For that, vibration signals are monitored to predict future defect occurrences. However, time series are not labeled according to severity level, and the user can only assess the system health from the data mining procedure. To that extent, a clustering algorithm using a deep neural network core is developed. Time series are encoded into pictures to be fed into an artificially trained neural network: U-NET. From the segmented output, one-dimensional information on cluster frontiers is extracted and filtered without any parameter selection. Then, a kernel density estimation finally transforms the signal into an empirical density. Ultimately, a Gaussian mixture model extracts the latter independent components. The method empowered us to reveal different degrees of severity faults in the studied data, with their respective likelihoods, without prior knowledge. It was then compared to state-of-the-art machine learning algorithms. However, internal clustering results evaluation for time series is an open question. As the state-of-the-art indexes were not producing relevant results, a new indicator was built to fulfill this task. We applied the whole method to an actuator consisting of an induction machine linked to a ball screw. This study lays the groundwork for future training of diagnosis and prognosis structures in the health management framework.
Identifying Regions of Trusted Predictions

Quantifying the probability of a label prediction being correct on a given test point enables users to better decide how to use those predictions. Combining aspects of prior work on conformal predictionsand selective classification, we provide a unifying framework for confidence requirements that allows for distinguishing between various sources of uncertainty in the learning process as well as various region specifications.Our first contribution is to expand a taxonomy of formal notions of confidence in label prediction of specific domain instances and of domain sub-regions. We then consider various common prior assumptions on the data generation process and what confidence guarantees they provably entail. Further, we show how, in various cases, unlabeled data can enhance the confidence of predictions and we analyze the sample complexity (both labeled and unlabeled) of learning meaningful pointwise label confidence guarantees.
Automatic Surveillance and Control System Framework-DPS-KA-AT for Alleviating Disruptions of Social Media in Higher Learning Institutions

The worldwide change and transformations are taking place in socio-techno cultures. In the epicenter of all these Information and Communication Technologies (ICTs), the Internet is the backbone and paving salient communications and computations Medias like the emergence of social networking sites (SNSs). These SNSs are facilitating globalized entertainment, socialization, communications, and information sharing over hand-held electronic gazettes/mobiles like Facebook, Twitter, Instagram, Skype, and WhatsApp etc. The positive side of this SNSs is making the world a social village but apart from these positive aspects, there is another trait of multi-fold adversities/disruptions or negative effects which still have not been exposed and drawn attention. The remedial action for such adversities is needed to be designed and developed. The all age groups and genders are typically involved and resulting in wastage of time, money and peace of minds. The adverse effects of social media users in a Higher Learning Institutions are getting worse day-by-day. The prime aim of this research study is to design an automatic Surveillance System Framework for alleviation of the social media disruptions in these institutions. This framework aims to design and develop a surveillance system and access control guidelines for judiciously alleviating the misuse of social media. The study used MS form, Protopie, adobe XD and InVision for data collection, framework design and prototype development respectively. This research is an attempt to apply an explanatory and applied research design science approach using survey, interviews and technical observations-based primary data analytics. The study concluded with a cloud-based automatic surveillance, auto alerts and control system framework (DPS-KA-AT) and functionally validated by a system framework prototype. In the survey and interview, the 66% respondents’ response was “YES”, while 34% “NO” when inquired for the need assessment of the automatic surveillance and control system towards alleviation of the social media adversities or disruptions. This percentage indicates that the highest number of respondent or the highest number of higher learning institutions communities need an urgent automatic monitoring, surveillance and control system towards alleviation of such adversities/disruptions. The study concluded with a remark “a concrete and Automatic Surveillance and Control System Framework can be a great instrumental for minimizing the adversities of social media in higher learning institutions”.
Card sorting: Practical guidance from a Pacific perspective

Most higher education institutions do employ a website to publish the information they wish to communicate to their users in the most efficient way possible. However, many disputes come to users when using the website due to lack of both usability standard and information architecture design. Card sorting is a great first step to designing and re-designing the structure of a website to be aligned with users’ expectation. This paper provides a practical guidance of card sorting from a Pacific perspective based on the authors’ reflections on their experience from using card sorting to explore user perceptions towards revamping the quality of the University of the South Pacific’s Research Office website. Building a website that involves users in defining the information architecture is the best possible way to be successful in terms of website usability. The authors’ reflections have shown that card sorting with and for Pacific people can be more meaningful when the subjective meaning of their card sorting and their inseparable relationships with the researcher are taken into account. This offers new insights into contextualising card sorting in the Pacific.
Tasheel Pedagogy of Topsy-Turvy Lexicons

Dyslexia is a learning disorder that involves difficulty in reading due to problems identifying speech sounds and learning how they relate to letters and words (decoding). It is identified that 5% to 17% of the world population are dyslexics. They tend to possess serious problems like identifying speech sounds and learning how they relate to letters and words, processing graphic symbols. They find it hard to spell correctly, read and write fluently compared to other children of their age. To overcome the stumbling blocks in learning for dyslexics, we develop a web application, that concentrates on helping dyslexic children to learn, read and write alphabets. This paper briefs upon employing cumulative and adaptive techniques for learning and evaluate the dyslexic students based on 3 criterions namely- visual, phonology and memory. The three modules are as follows- (i) Catapult (ii) Unleash ravel&#x0D; (iii) Cumulative digest. Within the Catapult module, the child is taught to read and write an alphabet by a video. It are often played until the child is confident. Next within the Unleash ravel module, three tests are conducted to instill various micro-skills. Firstly, the child is asked to write down the alphabet that's instructed on a piece of paper. It's captured and evaluated using OCR. Secondly, the kid is asked to spell the alphabet that is displayed on the screen and record it. Eventually, the child is asked to sequentially identify the alphabet in question from a paragraph. It's done to enhance the visual tracking, visual discrimination skills of the child . When the child moves to further chapters, the previous lessons are cumulatively added to the Unleash ravel to enhance memory. The Cumulative Digest gives the report of the child’s performance in three categories analyzing the micro-skills using machine learning. They are Visual, Phonology and Memory. A threshold is set for each test and if the kid score below the edge then tests are made to be adaptive in order that the child faces more exercises within the part he/she is under performing at. Thus, the TPTL application helps dyslexics to learn, test and analyze their skills which will improve their letter recognition, visual tracking, visual discrimination, visual memory, auditory memory and auditory discrimination.
TRANSHUMANISM VERSUS THE FUTURE OF ACCOUNTING

Due to the accelerated development of technological innovations, the accounting profession is undergoing changes. Studies conducted by research offices worldwide have shown that a significant transformation of the profession is anticipated in the upcoming years. Thus, there is a tendency to develop accounting software, which provide reliable and relevant financial information, to perform in-depth analyzes, and in a timely manner to provide financial advices. There is a need for future accountants to possess both financial-accounting language and to have advanced technical skills in the field. Hence, the importance and timeliness of the topic because the concept of “transhumanism” involves the use of contemporary technological sciences by capitalizing on human existence, by improving human skills, while imposing respect for reason and science. Thus, the authors set out to shed some light on this area, given that these two concepts have been unstudied so far. The research methodology is based on the method of comparison, induction, deduction, analysis of literature and web sources, as well as international web sources that have been studied.
Constraints Faced by School of Hospitality and Tourism Students in Distance Learning Using Online Platform in the Pandemic Covid 19

Covid 19 has spread to various countries including Indonesia, requiring various sectors to immediately take a stance in preventing wider transmission, including the education sector. In this regard, the Ministry of Education and Culture has taken a firm stance through several circular letters relating to education policy during the Covid 19 pandemic with online learning from home. The process of learning from home through distance education is a solution that is not yet optimal in its implementation. There are various challenges, both in terms of human resources, management arrangements, curriculum, learning facilities, as well as the process of collecting assignments, quizzes, midterm exams and final semester exams using the online platform Moodle and Microsoft Teams. The government supports the learning process by providing learning quotas to every student is active in the implementation of online learning. The research objective is to identify the obstacles faced by students in implementing online learning using an online platform. This research is a descriptive qualitative research which is a research method or a case study approach. In this study, the respondents who were related were 34 students. To maintain the confidentiality of the respondent's identity, the researcher gave the respondent's name M1, M2, M3, M4, and M5. The interviews were structured with questions that were compiled and linked and developed with related literature. The results of this study are the constraints faced by students are still fundamental, namely internet connection, wifi error, lack of focus.