Reviewerly/exHarmony huggingface dataset:
On Covariance Matrix Degeneration in Marginalized Particle Filters with Constant Velocity Models

Marginalization enables the particle filter to be ap-plied to high-dimensional problems by invoking the Kalman filter to estimate a larger part of the state vector. The marginalized (a.k.a. Rao-Blackwellized) particle filter (MPF) has found many use cases in tracking and navigation applications. These are characterized by having position and its derivatives as states. Here, we take a closer look at the MPF for the constant velocity motion model, which well represents the basic properties of most motion models used in this context. In particular, how the Kalman filter (KF)-part depends on how the continuous time state noise is sampled in the discrete time model. We find that for many of the most common sampling approaches, the KF -part of the MPF degenerates, meaning that the covariance approaches O. Further, we show that for those same sampling approaches there is no performance increase by switching from a particle filter to an MPF in this situation.
Optimalisasi Dana Peningkatan Kesiapsiagaan Bahaya Kebakaran dan Bencana Dalam Perspektif Disaster Risk Management

The establishment of disaster preparedness in the community is a very important thing to be done by the government. This is because Indonesia is located in the ring of fire belt areas which causes a variety of potential disasters. In dealing with this, Bandung city government through the Bandung City Fire and Disaster Management Office established a program in order to improve preparedness. Therefore, the government needs to optimize the available budget in order to achieve this goal. The research objective to be achieved in this paper is to analyze how the optimization of funds for the Fire and Disaster Preparedness and Prevention Program from the perspective of disaster risk management in the Bandung City Fire and Disaster Management Office. This research is a descriptive research utilizing qualitive method. Data collection was conducted using structured interviews, literature reviews, and unstructured observations in research locations. The result of this research is the formation of disaster preparedness in the community has not been fully optimized. This is due to the non-fulfillment of existing parameters in disaster risk management such as knowledge about disasters, emergency planning, and warning systems. Keyword: Disaster Preparedness, Disaster Risk Management, Fund Optimazation
A Small Cipher with Two-Layer Discrete Logarithm: Design and Simulation

It is desirable to design a compact block cipher for small devices in V2X paradigms. Discrete logarithm (DL) in the Galois field has been recognized as a non-trivial procedure in the public-key ciphers. In this paper, we design a private-key cipher based on the two-layer or double DL. We use an artificial neural network to test this cipher. Several interesting results are obtained. It seems that the number of rounds is critically important.
Resource Efficient Cluster-Based Federated Learning for D2D Communications

Federated Learning (FL) is an emerging machine learning technique used to train big data in resource-constrained situations. However, three main challenging issues are identified regarding communication resources in FL. First, the parameter server (PS) that collects user devices’ models is in the remote cloud. In the process of aggregating the model, the issues may burden the path links between the PS and high-traffic local nodes. Second, the network can be congested owing to the large size of the model parameters. Third, PS-side links may be highly stressed if the number of participating clients is large. In the present study, we propose a resource efficient FL scheme, in which clusters’ clients are based on the location, and the communication range of each client, which selects partial clients in a cluster, updates the model by exploiting the Pareto principle. Simulation results show that our proposed scheme reduces wireless network traffics while maintaining a slightly higher accuracy than the legacy FL mechanism.
EXPLORING STAKEHOLDERS EXPERIENCES AND CHALLENGES ON THE PRINTED MODULAR DISTANCE LEARNING MODALITY AMIDST COVID19 PANDEMIC

The unprecedented outbreak of novel coronavirus brought disruptions to people's lives. Schools were closed due to the imposed different community quarantine. The Department of Education collaborates with different stakeholders to develop a Basic Learning Continuity Plan. Schools used different learning modalities based on the parent's and students' capacity. The study wants to find out the experiences, challenges or difficulties, and suggestions of five school stakeholders in the province of Quezon. This study used a qualitative method through semi-structured interviews. The researcher found out that training and seminars provided by the department of education to all teachers made them confident in implementing printed modular distance learning modality. Monitoring and evaluating learners' progress are some of the most challenging parts in implementing printed modular distance learning as claimed by the teacher-respondents. Communicating with students and parents is one of the challenges faced by the teachers due to limited internet signals in the area. The majority of the learners do not have gadgets like smartphones and laptops. Collaborations and strong partnerships with parents and colleagues helped the teachers cope with the mentioned challenges. For the parents, the most challenging part was establishing routine among their children in studying. Assistance from relatives, searching the internet and using other learning resources like books and asking for assistance from the teachers help the parents face the challenges they encountered. For the student's they find it hard to study alone the module. Some lesson needs to be explained to them to understand well. Performance tasks were among the student's preferences in implementing printed modular distance learning. Parents' and relatives' assistance helps the learner in doing activities. Using books and other supplementary materials and searching on the internet also help the learners do the activities stated in the modules.
Non-formal and informal practices for modern educational organizations: experience of learning practices in graffiti community

Introduction. Today in the educational organizations all over the world, along with formal education, non-formal and informal forms of educational activity are becoming increasingly popular. These two forms strengthen the practice-oriented component in the learning process and prove their effectiveness in the system of architectural and pedagogical education, in training of programmers, in educational ecological projects, in working with patients with Rett syndrome, etc. However, to use them in area of institutional education by effective and systemic way, the mechanisms for the implementation of these forms require deeper research, which means analysis of successful practices in various environments. The aim of the study is to identify the factors of attractiveness and the reasons for the effectiveness of informal and non-formal learning practices in the graffiti community, where they are key and set the logic of learning, ensure functioning and cultural reproduction. Materials and methods. The study used qualitative methods: a semi-structured interview with representatives of the graffiti subculture of Samara and Yekaterinburg (n = 34, from 18 to 30 years old), as well as inside online observation in graffiti communities (n = 7). Time range 2017-2021. Research results. The typology of teaching practices in graffiti includes self-learning and learning in communication (subtypes: event and non-event practices; peer-to-peer and master-student training). The features of training organization are revealed: "horizontal structure" of the learning system; individualism of educational trajectories; popularity of mentoring; creating situations for mutual recognition of achievements; connection of the learning process, both with the acquisition of knowledge and with vivid experiences ("chase" for adrenaline); special format of training materials; motives of competition; stability in the absence of external regulation, etc. Conclusions. Based on the results, recommendations for the organization of non- and informal forms of education in the system of institutional education has highlighted: the creation of an integral communication educational space; the use of “horizontal” logic instead of hierarchical logic in the process of educational communication, an appeal to the “peer-to-peer” paradigm; attracting students to expert activities; the use of crowdsourcing in the practice of creating educational content and its assessment, etc.
CSAwesome Java Curriculum

CSAwesome is a Java AP CSA and CS1 curriculum with 20,000 users on the Runestone ebook platform. The curriculum is online, free and interactive with embedded Java Active Code examples and problems, mixed-up code (Parsons problems), multiple-choice problems, and scaffolded coding challenges. There are many features of the Runestone platform that scaffold and differentiate learning for students. The curriculum is designed to broaden participation in CS and transition students from AP CSP (or CS0) to AP CSA (or CS1) with a variety of techniques such as scaffolded interactivity and creative and collaborative learning. Initial results from the 2020-2021 school year show average gains of 29% on the pre/post test built into the curriculum (n=958, P<.001). Pre and post surveys built into the ebook show slight gains in confidence in Java programming and pursuing further study or a career in computing (P<.001). Female students (22% of those who answered) performed similarly to all students. Students who took AP CSP (39%) prior to AP CSA performed slightly higher in the pre-test but had similar results otherwise. 47% of students rated themselves as beginner programmers and 30% intermediate at the beginning of the course; at the end of the course, 12% rated themselves as beginners and 43% as intermediate programmers.
TuneScope

To accelerate the adoption of computational thinking (CT), we have developed TuneScope, an online platform for introducing novices to programming in the context of music. TuneScope combines a sound analysis & synthesis tool with Snap!, a computing language developed at the University of California, Berkeley. This demo explores CT concepts such as decomposition, patterns, abstraction, and algorithms in TuneScope while also exploring the creation of four cascading musical components from (1) sequences of notes, (2) musical chords, (3) sampled sounds, and (4) synthesized sounds. The challenge is to design activities that include authentic music learning as well as genuine computational thinking. In this demo, we show concepts around sequence (the order in which musical notes appear in time; and the order of statements in a computer program) and repetition (includes repeats as well as the structure of melodies; and computing loops and recursion). The instructional activities in this demo have been piloted three times in an associated course at the University of Virginia. Data collected from the course suggest a positive effect on both the understanding of CT concepts and the comprehension of music. More detail on TuneScope can be found at https://maketolearn.org/tunescope/.
A Real-time Software Defined Radar Index Analysis Prototype System

The real-time and comprehensive nature of radar signal processing and index analysis is of great significance to the index test of a radar system. Based on the flexible and open characteristics of software definition technology, a novel radar real-time indicator analysis system is developed in this paper. Using a socket network communication architecture based on the UDP protocol, the software can meet the real-time requirements, so that the synchronization of radar signal acquisition and analysis can be guaranteed. In addition, due to the modular design, signal processing, indicator analysis, and other functions are available in this software. Specifically, the software can not only intuitively display the signal waveform, but also give the indicator analysis results of the time domain, frequency domain, and other modulation domains, which meets the requirements of comprehensive analysis. The test results show that the software can greatly improve the efficiency of radar signal index analysis by synchronizing of data acquisition and analysis, and thereby has broad applicability in an actual radar signal processing environment.
Building Model for Crime Pattern Analysis Through Machine Learning Using Predictive Analytics

Crime has a big impact in both the human lives and the society’s growth, which needs to be addressed and controlled. Machine learning algorithms as the fanciest technology to assist decision makers in policy making has proven its reliability in showing unseen patterns in crime. This research aims to examine the capability of trees and ensemble trees in classifying crime through model development. Experiments were done to enhance the capability of the ensembles in both classification and regression. Feature extraction like synthetic minority oversampling technique was applied in order to address the problem in the imbalanced data. Different metrics relevant to classification and regression were considered in evaluating the performance of each model used. With the use of different metrics, Gradient boosted tree was found to have better classification capability in crime dataset after outperforming decision tree and random forest in both classification and regression problem. Furthermore, random forest was also found to have a promising capability in classification by regression. Therefore, it is highly recommended that this ensemble algorithm be further examined and considered in developing model in other datasets.
PSYCHOLOGICAL AND PEDAGOGICAL CONDITIONS FOR LEARNER AUTONOMY DEVELOPMENT IN THE PROCESS OF STUDYING A FOREIGN LANGUAGE

The article considers a topical problem of creating the necessary psychological and pedagogical conditions for the development of learner autonomy of students in the process of acquiring professional competence of future school teachers in universities in Ukraine. Based on the analysis of professional literature and observations of the educational process in the courses «Practice of oral and written English» and «EFL Methodology» at the Foreign Languages Faculty at Nizhyn Gogol State University, Ukaraine, approaches and ways of dealing with the problem of forming students’ responsibility for their own learning are proposed: creating a favorable learning environment, developing the ability to reflect and transfer this behavior beyond the learning environment, students’ awareness of the structure of the course, educational goals, content, forms of control and the necessary learning strategies, knowledge of existing theories and approaches to learning and mastering a foreign language, creating opportunities for choice and decision making, development and support of positive motivation to study, introduction of active and interactive forms and methods of teaching, peer teaching, self-assessment, involvement of students in scientific work and philological research, changing the role of the teacher and acquiring the function of assistant, facilitator in education. Specific methods, techniques, recommendations for creating these conditions are offered. Possible risks and complications, which in the process of development of learner autonomy are associated with the tendency of teachers and students to use traditional forms of learning and teching, the lack of educational materialsthat promote the development of autonomous student behavior. are considered
MODEL OF DISTANCE LEARNING OF STUDENTS STUDYING IN EDUCATIONAL PROGRAM «PRIMARY EDUCATION» IN NIZHYN MYKOLA GOGOL STATE UNIVERSITY

The subject matter of this article is a topical issue regarding distance learning in context&nbsp;of higher education. The general aim of the paper is to consider peculiarities of distance learning model in the process of primary school teachers training. Due to the analysis of scholarly literature it is revealed that the development and implementation of distance learning into the educational process is an important in termsof theory and methodology of higher education. Therefore it requires specification, theoretical and informative content of professional training, definition and introduction of appropriate models of training for primary school teachers, normative and educational support of the educational process. It is found that the certain system is singled out as an invariant of the organizational and didactic system of distance learning for future primary school teachers at Nizhyn Mykola Gogol State University and this system has its own specifics. It should be added that on basis of the study of distance learning implementation peculiarities at Nizhyn Mykola Gogol State University a model of an invariant organizational and didactic system of distance learning for students of Educational Program «Primary Education» was developed. The developed model includes the following blocks: conceptual-target block (provides an increase in motivation for self- improvement and self-learning throughout life); content-procedural block (provides the unity of the content of academic disciplines, the unity of ways of learning the content and their compliance with this content); operational-activity block (consists of three parts: motivational, cognitive-procedural and control-evaluation); resultative block (provides monitoring of professional training of future primary school teachers). It is defined in the article that the quality of distance learning of future primary school teachers is influenced by the successful organization of pedagogical support for students, which includes productive interpersonal interaction between teacher and students throughout the educational process.
Evaluation of Mobile Learning Ability of English Teaching Based on AHP

In order to improve the mobile learning ability of English teaching, this paper optimizes the connection among the various layers of the evaluation index system of mobile learning ability of students based on Internet of things and analytic hierarchy comprehensive evaluation method, and greatly reduces the uncertain factors in the evaluation process to a large extent. After calculating the weight matrix and membership matrix of each layer index, this paper establishes the econometric model of comprehensive evaluation results. The final purpose is to make use of multi-level comprehensive evaluation method, solve the subjective factors that affect mobile learning ability effectively bring bigger error for accurate evaluation of English teaching in the development of mobile learning ability, which has great reliability and practicability.
Implementing Continuous and Comprehensive Evaluation: A Status Check of its Acceptability among Secondary School Teachers

Lots of considerations have been made ensuring an ideal teaching-learning process for our students in schools, but, many a time-effective evaluation of the learning outcome of such process takes a back seat. Out of such concern, a scheme of continuous and comprehensive evaluation was launched to make a constant evaluation with increasing the ambit of evaluation to the whole personality of the individual. A draft guideline has been issued by the CBSE for developing its familiarity among teachers. Without support and acceptability of teachers’ effective implementation of CCE will always be a distant dream. Under such premise the present investigation was designed to verify the acceptability of CCE among secondary school teachers. A survey was conducted among 220 secondary teachers of Varanasi city to study their opinion on CCE as a whole and its certain domains. The findings suggest that there is moderate acceptability of CCE among teachers with no such evident gender differences. An alarming trend although found to be existing that senior teachers are less prone to change their evaluation pattern. The study recommends an effective intervention strategy for enhancing the acceptability of CCE among teachers for realizing the vision of the learner-centered teaching-learning process.
PENGEMBANGAN MOTIF BATIK BERBASIS TINGGALAN ARKEOLOGI KELURAHAN LEGOK KOTA JAMBI TAHAP II

This program is a continuation of the activities in the previous year. The newest batik motifs were inspired by ornaments and archaeological remains from the Situs Candi Solok Sipin. In 2020, batik tulis, the Makara Ekikarana motif has been produced. In 2021, the team try to make batik cap inspired by the Yaksa figure on the Makara and Stupa from the Situs Candi Solok Sipin. The batik cap is related to the purpose of preparing products at affordable prices, it's hoping that the batik is marketed more broadly. In addition, this new motif can also enrich the batik repertoire at the Rumah Batik Kelurahan Legok. The method is held in stages; the first stage is the preparation. During the preparation stage, we make motif design and make coordination with the Kelurahan Legok dan Rumah Batik. After the batik cap motif is ready, the next step is to make a stamp. After the preparation stage was completed, the next step is to produce a batik cap in 3 (three) days. On the last day, we make a product launch, the products are ready to be marketed. The results achieved include the creation of the Yaksa Stupa motif which is applied to cloth and masks.
The effect of using computer-assisted reading with inquiry-based learning on student reading comprehension

This study aims to determine whether there is a difference between students who read using computer-assisted reading and those who read using other means in terms of reading. The sample was 23 students studying at two senior high schools in Sumenep, East Java, Indonesia. They were selected from student representatives based on their English language skills. The experiment was divided into six stages which include learning and testing. The researchers used lexical-tutor where there are audio-assisted reading, concordance, and online dictionary. For the learning process, researchers use inquiry-based learning, which focuses on student activity. To determine whether there is an effect on reading comprehension, the researcher used a paired sample t-test and an independent sample test to determine whether there is a difference in student reading comprehension score using an inquiry-based computer aid with those who do not use it. Based on the results of the study, there is no effect and no difference between reading using computer-assisted reading with inquiry-based learning and those who did not use computers. When viewed from individual scores, the results of the study showed little progress. The results of the observation show that not all students like to read while listening to audio.
Designing New Forms of Digital Autopoietic Machines

The general theory of information (GTI) tells us that information is represented, processed and communicated using physical structures. The physical universe is made up of structures combining matter and energy. According to GTI, &ldquo;information is related to knowledge as energy is related to matter.&rdquo; GTI also provides tools to deal with transformation of information and knowledge. We present here the application of these tools for the design of digital autopoietic machines with higher efficiency, resiliency and scalability than the information processing systems based on the Turing machines. We discuss the utilization of these machines for building autopoietic and cognitive applications in a multi-cloud infrastructure.