Reviewerly/exHarmony huggingface dataset:
Towards an Integrated Approach for Preserving Data Utility, Privacy and Fairness

Data reusability has become a distinct characteristic of scientific, commercial, and administrative practices nowadays. However, an unlimited and careless reuse of data may lead to privacy breaches and unfair impacts on individuals and vulnerable groups. Data content adaption is a key aspect of preserving data privacy and fairness. Often, such content adaption affects data utility adversely. Further, the interaction between privacy protection and fairness protection can be subject to making trade-offs because mitigating privacy risks may adversely affect detecting unfairness and vice versa. Therefore, there is a need for research on understanding the interactions between data utility, privacy and fairness. To this end, in this contribution, we use concepts from causal reasoning and argue for adopting an integrated view on data content adaption for data driven decision support systems. This asks for considering the operation context wholistically. By means of two cases, we illustrate that, in some situations, local data content adaption may lead to low data quality and utility. An integrated wholistic approach, however, may result in reuse of the original data (i.e., without content adaption, thus in higher data utilization) without adversely affecting privacy and fairness. We discuss some implications of this approach and sketch a few directions for future research.
FACTORS HINDERING AND CONTRIBUTING TO THE DEVELOPMENT OF THE DIGITAL EDUCATIONAL ENVIRONMENT

Statement of the problem. The article actualizes the problem of the need to model digital educational environment. The problem is determined by several aspects at once, which can be identified as trends of the last two years. The main trend is the development of forms of education, the forced transition to distance learning, including secondary school. If earlier, distance education was widely spread in higher educational institutions, educational organizations of vocational education, then in recent years it has also entered general education schools. The purpose of this article is to identify the need to model digital educational environment based on the use of cloud services. The relevance of the topic and the need for its development and adjustment by practice, allow us to speak about the insufficiency of developments in terms of modeling digital educational environment in secondary schools. The methodology of the research consists of analysis and generalization of open statistical and sociological research, experience of working with teachers of educational institutions during the period of Covid-19 restrictions, scientific works of Russian and foreign specialists in the field of management of educational institutions. Research results. On the basis of the activity and competence approaches, the need is revealed to develop the education personnel potential in parallel with the development of digital educational environment. Conclusion. The model of digital space of an educational institution presented in the article does not claim to be complete. The main idea of modeling is the need to develop organizational, technical, technological, human, social, and pedagogical conditions for adapting the educational environment to environmental conditions and risk factors. The proposed project of the model of educational digital environment for a secondary school assumes group interaction, a high level of competence in the field of design, in the field of ICT, in the field of pedagogy and education.
MODEL OF END-TO-END DEVELOPMENT OF UNIVERSAL COMPETENCIES IN THE HUMANITARIAN CYCLE OF DISCIPLINES FOR UNIVERSITY STUDENTS SPECIZALIZING IN ENGINEERING

The article presents a model of the end-to-end development of universal competencies, which systematizes interdisciplinary connections and involves the implementation of social projects by students of engineering areas of training in the process of studying the disciplines of the humanitarian cycle. The methodological recommendations presented in the work are based on the principles of unity of purpose, interdisciplinarity, variability, responsibility, subjectivity, as well as the use of project technology in the educational and extracurricular process. The purpose of this article is to develop methodological recommendations and describe a proven model for the development of universal competencies of students in engineering areas of training. The research methodology is the analysis and generalization of the Federal State Educational Standard of Higher Education in the field of study 13.03.01 Thermal Power Engineering and Heat Engineering (Bachelor’s level), research works of foreign and Russian scientists recognized by the scientific community, and the experience of using project technology in the formation and development of universal competencies. Research results. The developed model is presented of the end-to-end development of universal competencies at the Department of Thermal Power Plants of the Siberian Federal University. The model includes the following elements: the humanitarian cycle of disciplines: Business Communications, Fundamentals of Professional Communications, Responsible Innovations. Ethics. Security, Change Management; student social projects of different levels; positions (roles) occupied by students in the implementation of projects; Student Government Body. Conclusion. The authors note that the practical implementation of the model of end-to-end development of universal competencies, which systematizes interdisciplinary communications and involves the implementation of social projects by students of engineering areas of training in the process of studying the disciplines of the humanities cycle, contributes to the systematic development of universal competencies.
Editorial of the 35th BCS Human-Computer Interaction Conference Proceedings

of Computer Science and Mathematics (postponed from 2020).
An Investigation of Translation of Text Language to Sign Language Using Machine Learning

Among the fastest-growing areas of study today is the translation of sign language, which is the most natural form of communication for those with hearing loss. Deaf individuals may be able to communicate with hearing people directly, without an intermediary, with the use of a hand gesture recognition device. The method was developed to facilitate the automatic translation of American Sign Language into text and sound. The suggested system uses a large data collection to interpret individual words and phrases in traditional American Sign Language, alleviating any fears that the user may have about using a virtual camera. Deaf and mute persons must rely on Sign Language as their only method of communication. However, a large portion of the general public is illiterate in sign language. Therefore, those who sign have a more difficult time communicating with those who don't without the help of an interpreter. The proposed technique employs data collected by Fifth Dimension Technologies (5DT) gloves to try to interpret hand movements as spoken language. The data has been classified into text words using a variety of machine learning techniques, including neural networks, decision tree classifiers, and k-nearest neighbors.
THE ROLES OF YOUTUBERS IN PRESERVING LOCAL LANGUAGES

This paper aims at describing the role of Indonesian local YouTubers in preserving local languages through YouTube video contents. As widely recognized, many local languages around the globe are endangered. This is also the case for local languages in Indonesia; many of its local languages are reportedly facing extinction. Nevertheless, the recent development on the internet reveals new facts on the existence of local languages. There are a growing number of Indonesian YouTube content creators, another name of YouTubers, who use various Indonesian local languages as sources of their attractiveness. This paper is based on qualitative research that used secondary data collected from YouTube videos, with other various online sources (e.g. online news) as a complement. The study focuses on some YouTube channels representing some main local language speakers in Indonesia. They are chosen for representativeness of Indonesian main local languages and for their popularity, which is proven by the coverage of other media. Based on the findings, this paper describes the roles of local content creators, another name of YouTubers, in preserving local languages as follows: first, keeping the existence of local languages; second, introducing local languages to non-speakers; third, introducing varieties in local languages; and fourth, documenting local languages and their variations.
One–Handed Control for Smartwatches Using Thumb Gestures to Ring

Users operate smartwatches with touch gestures (e.g., tap, double–tap, swipe); however, the displayed target’s small size causes tapping errors. Since the smartwatch’s input space is covered by the user’s finger, the user cannot verify the point to be tapped. In addition, users who wear smartwatches on their wrists must operate the smartwatch with the opposite hand, making it difficult to control the smartwatch when one hand is occupied. Therefore, we designed a one–handed control method that can execute operations by using the hand wearing a smartwatch and extending the input space. To detect thumb gestures, we designed a ring device equipped with photoreflectors. We implemented a system for detecting thumb gestures using time series data and the frequency power spectrum obtained by Fast Fourier Transformation of the time series data for Support Vector Machine. In a user study with five participants, the leave–one–participant–out cross–validation accuracy of the system to detect five thumb gestures was 87.33%.
THE EFFICACY OF TREASURE HUNT GAME WITH LUWU LOCAL CULTURE BASED IN TEACHING ENGLISH VOCABULARY AND INTRODUCING CULTURES HERITAGES OF LUWU AT SMPIT AL HAFIDZ KOTA PALOPO

The aim of the research was to find out the efficacy of Treasure Hunt game with Luwu local culture content based for teaching vocabulary and introducing the cultures heritages of Luwu to the students at SMPIT Al Hafidz Kota Palopo. The method of the research was pre experiment. The subject of this research was the students of class 7th SMPIT Al Hafidz Kota Palopo consisting of 20 students. Test was used to collect the data. To analyze the data the researcher utilized t-test through SPSS 20. After the analysis, this research showed a significant improvement in the students’ vocabulary in English and students can enrich their knowledge on Luwu Culture. It is supported by the t-test result with the P value was 0.00. In conclusion, teaching vocabulary using Treasure Hunt game with Luwu Local culture content-based is effective both in English vocabulary development and Luwu culture knowledge of students.
COLLOCATIONS OF DISCOURSE MARKER DEH: INTENSIFYING THE FUNCTIONS OF DEH

Djenar et al. (2018) sum up that deh is applied to give advice, point out the focus of information, highlight information, and soften instruction. This study aims at exploring the collocations of deh to get the ideas in what functions deh is used. Furthermore, it investigates what the speakers intend to achieve by applying those collocations. The data was taken from the CHILDES corpus of Jakartan Indonesian. Antconc was used to gain collocations of deh in non-interrogative utterances. The words that collocate with deh are aja, coba, ya, iya, deh, nggak, and udah. Dehs are used in the utterances that carry the following language functions: showing preference, suggesting, instructing, informing, accepting, describing, planning, giving an opinion, and rejecting. The collocations of aja and deh makes the message of giving new knowledge in showing preference, acceptance, instruction, and suggestion becomes stronger as in itu aja deh, apa aja deh, bikin itu aja deh, and begini aja deh biar nggak jatuh. According to KBBI (The Complete Indonesian Dictionary), coba is used to soften instruction. Therefore, the collocation makes the sense of softening the instruction becomes stronger but polite as in coba buka deh. Ya and iya have the same meanings and they are applied to give emphasis in a statement (KBBI, 2016). In relation to the functions of deh to highlight information, collocation of deh and ya intensifies speakers’ intention to emphasize particular information as in ya boleh deh. Collocations of nggak and deh occur in instruction (nggak usah deh) and rejecting (nggak deh). Furthermore, deh was used to highlight information in suggesting ideas (ato nggak gini aja deh kita beli gurame), informing (ya nggak muat deh), and giving an opinion (nggak jelas banget deh). In the collocations with deh, udah carries two meanings. The first is an adverb that shows events in the past as udah lengkap deh. Therefore, the speaker highlighted information. The second one means that’s enough and it is used to end a topic (udah deh diem aja).
AUTOMATIC CAMERA PANNING WITH FACE MASK DETECTION

— In recent years, video surveillance systems have attracted a lot of attention as a way to satisfy the needs of many security elements such as industrial control and monitoring, environmental monitoring, personal care, and so on. They have contributed significantly to the reduction of crimes and the preservation of property. Starting from small offices to large factories, these systems became very necessary and important to satisfy the security aspects in various areas of life. Face mask detection is integrated with automatic panning video surveillance cameras, implemented in airpors, railway stations, offices, schools, and public places to ensure public safety guidelines are followed. This work provides user with a wide range surveillance system with automatic panning in uniform intervals. Further expanded to exclusion zones, containment zones, biohazardous zones and crowded areas the work includesface mask detection feature with an alarm to alert the user if the safety protocols are violated. This work aims to develop the face mask detector which is able to detect any kinds of face mask violation.
A QR CODE TECHNOLOGY FOR CENTRALIZED INVENTORY MANAGEMENT SYSTEM

In this proposed system, we attempting to create a mobile application that is capable of providing us with information about the specific details of the equipment of any Inventory by Scanning the QR code. The Quick Response Code (QR Code) is defined as the machine-readable optical label that contains information about the item to which it is attached. This project ideology is carried on Airport Inventory Management System which includes all the airport inventory product details. i.e. (Serial Number, Date of installation, etc.) which are present on the premises and their maintenance data too. The QR code placed on the equipment will be scanned by the app. As soon as the QR Code is scanned, the equipment ID will be fetched by the app. This ID will be crossed verified with the database. Once validation is done, all the details from the database will be retrieved, which will readily give us proper and full-fledged information of previous services record which were carried out in the past with Serial Number and Date of Installation of that particular equipment. It also enables the user to efficiently update the service history details on the spot from the app, which is done right after the maintenance.
Pengaruh Overlap Ratio pada Model Turbin Savonius terhadap Karakteristik Koefisien Daya Berdasarkan Eksperimen Pada Wind Tunnel

Wind energy is a resource that is abundant, environmentally friendly, and renewable, therefore it has the potential to be developed. Savonius vertical axis type is suitable for application in low wind speed conditions. The Savonius wind turbine has good self-starting so that it is able to rotate the rotor even though the wind speed is low, besides that the torque it produces is relatively high. This study aims to determine how differences in OR affect the performance of Savonius turbines with an aspect ratio (AR) of 2. The experimental method was applied in this research to investigate the characteristic Cp of the model using the wind tunnel with different overlap ratios of 0.1, 0.15, 0.2, 0.25, and 0.3. The wind turbine model that has been made using a 3D printing process made of PLA + material. The results obtained in each OR test are the maximum Cp value for the variation OR 0.1, which is 0.121, OR 0.15, the maximum Cp value obtained is 0.213, OR 0.2, the maximum Cp value is 0.245, OR 0.25, the maximum Cp value is 0.224 and OR 0.3, the maximum Cp value is 0.210. Based on the five overlap variations, the maximum Cp ratio is obtained at OR = 0.2, namely Cp = 0.245 and TSR = 0.7. The OR value of 0.2 is able to maximize turbine power and minimize negative torque because the flow through the overlap area can maximally direct wind power to the maximum backward blade.
Hybrid Multi Attribute Relation Method for Document Clustering for Information Mining

Text clustering has been widely utilized with the aim of partitioning speci?c documents’ collection into different subsets using homogeneity/heterogeneity criteria. It has also become a very complicated area of research, including pattern recognition, information retrieval, and text mining. In the applications of enterprises, information mining faces challenges due to the complex distribution of data by an enormous number of different sources. Most of these information sources are from different domains which create difficulties in identifying the relationships among the information. In this case, a single method for clustering limits related information, while enhancing computational overheadsand processing times. Hence, identifying suitable clustering models for unsupervised learning is a challenge, specifically in the case of MultipleAttributesin data distributions. In recent works attribute relation based solutions are given significant importance to suggest the document clustering. To enhance further, in this paper, Hybrid Multi Attribute Relation Methods (HMARs) are presented for attribute selections and relation analyses of co-clustering of datasets. The proposed HMARs allowanalysis of distributed attributes in documents in the form of probabilistic attribute relations using modified Bayesian mechanisms. It also provides solutionsfor identifying most related attribute model for the multiple attribute documents clustering accurately. An experimental evaluation is performed to evaluate the clustering purity and normalization of the information utilizing UCI Data repository which shows 25% better when compared with the previous techniques.
A Grey Wolf Intelligence based Recognition of Human-Action in Low Resolution Videos with Minimal Processing Time

The usage of video cameras for security purposes has grown in recent years. The time for recognition of human plays an important role in solving many real time problems. In this paper, the process for identifying human action is done by separating the background using local binary pattern (LBP) and features extracted using faster histogram of gradients (FHOG) and Eigen values based on power method. The features are combined and optimized using grey wolf optimization (GWO) and finally classified using support vector machine (SVM). The experimental results are compared with existing methods in identifying the human action. The time factor is evaluated and compared with different optimization techniques like particle swarm optimization (PSO), Firefly algorithm (FA) and grey wolf optimization. The entire process is performed on three well known datasets like VIRAT dataset, KTH dataset and Soccer dataset. The comparison results prove that the recognition is done in quick time i.e. 10.28sec with improved rate of accuracy 93.35% for soccer dataset using proposed method.
Analysis of the Influence of School Participation Rate on the Percentage of Poor Population through per Capita Income as a Mediation Variable in Hulu Sungai Utara District

The purpose of this study was to analyze the effect of the School Participation Rate on Gross Domestic Product, to analyze the effect of the School Participation Rate and Gross Domestic Product on the Percentage of Poor People, to analyze the effect of the School Participation Rate on the Percentage of Poor People through Gross Domestic Product. This research is quantitative research and library research. Data source from the Central Bureau of Statistics. The sampling in this study used data on school participation rates from 7-18 years old, the percentage of poor people and Gross Domestic Product during 2013-2019. The data analysis technique used is Path Analysis, T Test and Sobel Test. Based on the results of data analysis, it can be concluded that there is no significant effect of the School Participation Rate on Gross Domestic Product, there is a significant effect of the School Participation Rate on the Percentage of the Poor, there is no negative and statistically significant effect of Gross Domestic Product on the Percentage of Poor People negative mediation of the School Participation Rate variable through Gross Domestic Product to the Percentage of Poor Population.
The Use of Hand Puppets in Discussion in Learning English Speaking Online for Class Students at Sentosa School, West Jakarta

As an effort to prevent the spread of the Covid-19 virus, the government issued a policy for schools to implement online learning since March 2020. Was online learning effective during the Covid-19 pandemic. The object that the writer examined was the ability to speak and tell stories in class VII Sentosa School students. Because maybe online learning at home is less effective so students are asked to look for it from various sources. During online learning, teachers are required to be more innovative, and teachers must change and create new teaching methods so that teaching and learning activities are not boring and monotonous. Sentosa School grade 7 researchers and tutors conduct online storytelling activities in English. Researchers apply learning to tell stories with the media of hand puppets and discussion methods. This online field research was conducted using a quantitative approach with the discussion method.
Adaptive Polynomial Coding of Multi-base Hybrid Compression

With increasing demand for the intensive use of images, especially linked to online applications as well as the massive, continuous revolution of mobile phone technology, the need has emerged for efficient, standard image compression techniques that ensure simplicity and speed. These must be compatible with user needs, but also meet the challenges of improving compression techniques. Polynomial coding is one such techniques still under development, based on a modelling concept of deterministic and probabilistic coding bases. This paper introduces a new mathematical iterative polynomial model to represent both coding bases. The model proposes an efficient hybrid way where coefficients are represented as lossless while residuals are presented as a lossy but with minimum loss, which ensures effective performance in terms of compression ratios and quality. Results show that while the technique has some limitations, the proposed system achieves equivalent compression ratios as the standard JPEG technique, but with superior quality for the same compression ratio.