Reviewerly/exHarmony huggingface dataset:
Collision Avoidance for a Small Drone with a Monocular Camera Using Deep Reinforcement Learning in an Indoor Environment

Collision avoidance of drones in a complex environment, especially in an indoor environment, is a challenging task. This paper develops an obstacle avoidance system for small multi-rotor drones based on a deep reinforcement learning algorithm using only a monocular camera. The proposed method comprises two steps: depth estimation and navigation decision-making. For the depth estimation step, a pre-trained depth estimation algorithm based on a CNN (Convolutional Neural Network) is used. In the navigation decision-making step, a dueling double deep Q-network is employed. The entire training procedure is performed in a Gazebo simulation environment using a robot operating system. To validate the robustness of the proposed approach, various simulations and experiments are conducted using a Parrot Bebop2 drone in an indoor corridor. We demonstrate that the proposed algorithm successfully navigates through a narrow corridor comprising a texture-free wall, people, and boxes. A supplementary video clip of the experiments can be found at https://youtu.be/oSQHCsvuE-8.
Why I prefer a syndication model for ...

Why I prefer a syndication model for #OER resources where I federate or syndicate artifacts to the Commons from a place where I live through
LaRVAE: Label Replacement VAE for Semi-Supervised Disentanglement Learning

Learning interpretable and disentangled representations is a crucial yet challenging task in representation learning. In this work, we focus on semi-supervised disentanglement learning and extend work by Locatello et al. (2019) by introducing another source of supervision that we denote as label replacement. Specifically, during training, we replace the inferred representation associated with a data point with its ground-truth representation whenever it is available. Our extension is theoretically inspired by our proposed general framework of semi-supervised disentanglement learning in the context of VAEs which naturally motivates the supervised terms commonly used in existing semi-supervised VAEs (but not for disentanglement learning). Extensive experiments on synthetic and real datasets demonstrate both quantitatively and qualitatively the ability of our extension to significantly and consistently improve disentanglement with very limited supervision.
The Impacts of Recessive Curriculum on Maintaining a Stable Community in China

As is known to all, recessive curriculum is the one which is presented in education institution through indirect and hidden way. Although such concept was launched as early as in 1960s, it developed with the huge impacts on shaping oneâ€™s value, which actually plays significant role in individualsâ€™ character. Therefore, a stable and harmonious society can be maintained. The aim of this thesis is to illustrate the specific influence of recessive curriculum on establishing oneâ€™s value and devising a feasible mode to stress the application of recessive curriculum.
Calibrated Adversarial Refinement for Multimodal Semantic Segmentation

Ambiguities in images or unsystematic annotation can lead to multiple valid solutions in semantic segmentation. To learn a distribution over predictions, recent work has explored the use of probabilistic networks. However, these do not necessarily capture the empirical distribution accurately. In this work, we aim to learn a calibrated multimodal predictive distribution, where the empirical frequency of the sampled predictions closely reflects that of the corresponding labels in the training set. To this end, we propose a novel two-stage, cascaded strategy for calibrated adversarial refinement. In the first stage, we explicitly model the data with a categorical likelihood. In the second, we train an adversarial network to sample from it an arbitrary number of coherent predictions. The model can be used independently or integrated into any black-box segmentation framework to enable the synthesis of diverse predictions. We demonstrate the utility and versatility of the approach by achieving competitive results on the multigrader LIDC dataset and a modified Cityscapes dataset. In addition, we use a toy regression dataset to show that our framework is not confined to semantic segmentation, and the core design can be adapted to other tasks requiring learning a calibrated predictive distribution.
Distributed spatio-temporal generative adversarial networks

Owing to the wide range of applications in various fields, generative models have become increasingly popular. However, they do not handle spatio-temporal features well. Inspired by the recent advances in these models, this paper designs a distributed spatio-temporal generative adversarial network (STGAN-D) that, given some initial data and random noise, generates a consecutive sequence of spatio-temporal samples which have a logical relationship. This paper builds a spatio-temporal discriminator to distinguish whether the samples generated by the generator meet the requirements for time and space coherence, and builds a controller for distributed training of the network gradient updated to separate the model training and parameter updating, to improve the network training rate. The model is trained on the skeletal dataset and the traffic dataset. In contrast to traditional generative adversarial networks (GANs), the proposed STGAN-D can generate logically coherent samples with the corresponding spatial and temporal features while avoiding mode collapse. In addition, this paper shows that the proposed model can generate different styles of spatio-temporal samples given different random noise inputs, and the controller can improve the network training rate. This model will extend the potential range of applications of GANs to areas such as traffic information simulation and multi-agent adversarial simulation.
EXPLORING SPEAKING ANXIETY : THE CAUSES Of ENGLISH LANGUAGE SPEAKING ANXIETY AT SMA N 2 BANGKINANG KOTA

Speaking is convinced as a skill that most frequently evokes anxiety among the students. Anxiety appears because of the lack of knowledge, the low desire to try to speak, fear of making mistakes and difficulty to understand on the teacher’s words. This research was aimed investigatly factors contributing to speaking anxiety at the third grade of SMA N 2 Bangkinang Kota. This is a Qualitative Research. The observation check list, the questionnaire, and the interview topic guide were used as the instruments to collect the data. The findings showed that fear of making mistakes is the biggest factor that make students anxiety in speaking English. Fear of making mistakescaused by some factors, there are : the students don’t understand because the lack of vocabulary, low structure, and don’t know how to pronounce the word. Then, the next factor is self-perception or self-esteem. This factor of language difficulties (lack of self-confidence, afraid about structure and speaking English correctly, they thought the other students more better in speaking English), concern about others perception, low self- confidence, lack of motivation and lack of communication and afraid of making mistakes. After that is social environment, they have limited exposure to target language and judgment from other people, and when they try to speak English their friends don’t understand and laugh them . And the last is a cultural difference. That is because different topic and different accent and they ere not used to using English to communicate in daily life.
An Extensive Research on Application of Interaction Design in Products

Abstract The human society has been ushered in an era of experience economy oriented by information products thanks to the booming of information technology since 1940s. The human society is featured by the fact that consumers begin to pursue spiritually satisfactory products rather than mass-produced products at functional and modelling levels. The so-called “experience” is what consumers seek for an emotionally and spiritually pleasing experience. Traditional industrial design concepts can no longer meet the needs of the customs nowadays, so new concepts to guide the design of products from the perspective of interaction are introduced by designers to solve the contradiction between customers’ need and products supplied. On the basis of the this background, this paper tends to discuss how interaction design can be applied in product development. The software and industrial products are in an attempt to provide inspirations into how to put this concept into practice.
PENGEMBANGAN PELAKSANAAN PEMBELAJARAN MENULIS TEKS EKSPOSISI MENGGUNAKAN MODEL SUGESTI IMAJINASI DENGAN AUDIO VISUAL SISWA KELAS X SMK NEGERI 15 SAMARINDA

It studies about the improvement of exposition text writing. It uses imagination suggestion model of audio visual aided instruction. It aims to develop a product in the form of the learning implementation of exposition text writing on 10 th  Grade of SMK Negeri 15 Samarinda. It applies research and development method. Two supervisors evaluate the lesson plan (RPP) and its mean score is 78% which is in a good category. On the implementation, its mean score is 86,69%, good category. The data are collected from questionnaires and assignments. The development of the learning implementation reveals: (1) the feasibility of the development design; (2) the learning implementation feasibility of exposition text writing done by the teacher. In a small group examination, both materials and presentations do not reach the Minimum Criteria of Mastery Learning (KKM) 75; and 3) the learning effectiveness. It is indicated by the result of the writing that reaches ≤ 75, the result of the study that reaches KKM with 100% mastery percentage and mean score of 79,26.
Data of "An experimental study of fungal olivine weathering"

This file contains all the data used for the figures shown in the Dissertation of Ruben Gerrits with the title An experimental study of fungal olivine weathering.
Uniqueness of Backpropagation and Contrastive Learning

Backpropagation calculates an error signal for the output neurons and propagates it to the hidden neurons. Contrastive learning involves tightening the output neurons to desired values and allowing the effect to spread through feedback links throughout the network. To investigate the relationship between these two forms of learning, we consider a special case in which they are identical: a multilayer perceptron with linear output units to which weak feedback links have been added. Let Ω″>π. The goal of the present article is to characterize sub-geometric numbers. We show that p ≠1. In this context, the results of are highly relevant. Is it possible to examine pairwise finite vectors?
The Model to Implement the Cyber Security Policy and Strategy for Azerbaijan Information System

This study aims to build an AHP model that evaluates the priority of cyber security policies for the Azerbaijan information system. For this, 4 factors were constructed from components of ITU National Interest Model, whereas 5 alternatives were based on the best practices of the eight developed countries leading the cyber security field. Using the questionnaire, 24 security experts evaluated the strategic priority of such factors or alternatives.　The analysis results　using the AHP software showed that homeland defense and economic well-being were the dominant aspects of cyber security policy, whereas capacity building and infrastructure were the main concern of cyber security elements for Azerbaijan. This study presents the strategic priority of cyber security policies that can be adopted by Azerbaijan government. This study can contribute to developing the national cyber security guide of Azerbaijan.
The Use of Local Lore Materials at Lessons of History of Ukraine in Secondary General Education Institutions

The article studies the peculiarities of the use of local lore materials at history lessons.The author concludes that the use of local lore materials at history lessons is one of the means of enhancing students' cognitive activity and encouraging research.Knowledge of local lore studies enriches program material, makes it clearer, more logical and convincing and, of course, helps to improve the quality of knowledge.In the process of study of History of Ukraine, focusing on specific facts, events, processes and phenomena of local lore contributes to students' awareness of the historical basis of the regional-cultural, ethnographic, religious, social and economic diversity of Ukraine within a single national history.Understanding of regional peculiarities (historical-geographical, ethnographic, cultural, religious, mental) as a result of a complex of events, processes and phenomena of the historical development of the Ukrainian territory is a significant factor in shaping the social consciousness of the young generation, which has to understand the state and national unity of Ukraine through regional variety of all manifestations of life of the Ukrainian nation.
Understanding Public Speakers’ Performance: First Contributions to Support a Computational Approach

Communication is part of our everyday life and our ability to communicate can have a significant role in a variety of contexts in our personal, academic, and professional lives. For long, the characterization of what is a good communicator has been subject to research and debate by several areas, particularly in Education, with a focus on improving the performance of teachers. In this context, the literature suggests that the ability to communicate is not only defined by the verbal component, but also by a plethora of non-verbal contributions providing redundant or complementary information, and, sometimes, being the message itself. However, even though we can recognize a good or bad communicator, objectively, little is known about what aspects – and to what extent—define the quality of a presentation. The goal of this work is to create the grounds to support the study of the defining characteristics of a good communicator in a more systematic and objective form. To this end, we conceptualize and provide a first prototype for a computational approach to characterize the different elements that are involved in communication, from audiovisual data, illustrating the outcomes and applicability of the proposed methods on a video database of public speakers.
Tata Kelola Keuangan Sekolah

The author writes this paper in order to analyze the correlation of the educational background of the educational staff to individual performance in school finance and financial management in general. In the management of school finances it is not 'easy' but what is needed is the name of accuracy, accuracy, transparency, accountability, as well as effective and efficient. To achieve this, of course, education staff are needed in accordance with the potential in their fields. With an optimal workforce, the work results are also optimal. Thus the administration of school finance will be better directed and better. Specifically this paper will discuss how the school financial management is theoretically linked to the actual financial management, starting from the understanding of financial management, the process of school financial management and the accountability of financial management of educational institutions / schools, and finally whether there is a correlation of the latest education workforce towards individual performance in the field of finance or in other words in managing school finances. Keywords: Education, labor, school finance
Human Intrusion and Motion Detection System

Human intrusion and motion detection system can detect the presence of a human being using sensors.When a human is detected it takes pictures or videos using a camera according to the given setting.This is then sent via email to the owner of the system and a Whatsapp text alert is sent simultaneously.This system also interface other security systems that can alert a person present in the house of an intrusion, in this model a buzzer is interfaced, an LED light and a camera to a Raspberry Pi 3b plus, using a PIR sensor for detection for a very basic model of our proposed security system
Proposal of a Tactile Paper Interface using a Tablet Device

In this study, we focus on a texture of papers, propose a tactile paper interface using a tablet device, to extend touchscreen interface. Combining a paper with a tablet device, the system enables the use of various tactile prompt that papers have, as touch switch. A user touches tactile prompt on a paper, can read context to move fingers. Also, a user gets visual and auditory feedback provided in conjunction with own finger movement, can manipulate spontaneously. We developed the prototype system and application, that a user can edit configuration and parameter of switch on paper arbitrarily.
SPEECH EMOTION RECOGNITION USING PNN CLASSIFIER

This paper recommends discourse feeling acknowledgment from discourse signal dependent on highlights examination and PNN-classifier. The arrangement of acknowledgment incorporates discovery of discourse feelings, extraction and determination of highlights, lastly characterization. These highlights are valued to segregate the greatest number of tests precisely and the PNN classifier dependent on discriminant investigation is utilized to characterize the six distinctive articulations. The reproduced outcomes will be indicated that the channel occupied component extortion with utilized distribution presents much better exactness with less algorithmic unpredictability than other discourse feeling articulation acknowledgment draws near.
Efektivitas Media Dadu Dalam Memperkenalkan Huruf Hijaiyah Kepada Anak Usia Dini di Taman Kanak-Kanak Islam Khaira Ummah

Abtract T his research was to determine the development of children's reading skills in recognizing hijaiyah letters through the dice media at kindergarten islamic khaira ummah.This research begins with the assumption that the dice media can help the development of language, especially in the ability to read children in recognizing hijaiyah letters. Researchers found that the media used by teachers in developing the ability to read hijaiyah letters of children at kindergarten islamic khaira ummah.This research used quantitative research with experimental methods in the forms of quashi experimental. The population is the students of Islamic Khaira Ummah, class B6 as an experimental class while B7 as a control class. Each sample consist of 15 children. Research was using cluster sampling technic and this research was using action research and documentation to collect the data. the average reading ability of children's skills in recognizing hijaiyah letters in early childhood in the experimental class was 87,3 and the control class was 82,6, while the result of the effect size with cohen's is 0,895 > 0,80. These results concluded that the effective dice media to develop the ability to read children recognize letters hijaiyah in early childhood.
Emotions, personality, and psychopathology of cybersecurity breach victims

Humans are social creatures. Our behaviour is influenced by our perceptions of those around us, often to a much greater degree than we realize. However, we tend to make mistakes in our understanding of those around us and the situations that we encounter. We do so because our cognitive resources have limits, meaning that we have developed systems of coming to quick conclusions based on limited information. These processes are known as heuristics. This is not a flaw; rather it is an adaptive strategy that allows us to navigate and survive in our social worlds. Nevertheless, these tendencies may lead people to engage in cybersecurity in risky ways, either as the instigators of attacks, the targets of attacks, or the cybersecurity professionals who seek to prevent and mitigate attacks. Examples of this include group dynamics in which individuals overestimate the abilities of their own group whilst underestimating the abilities of competing groups, or failing to recognize the threat of cybersecurity risks that are difficult to visualize. In ways like those used with marketing and advertising campaigns, social engineers aim to exploit these quirks of social influence and human decision making. A greater understanding of these processes will enable us to develop more informed prevention and mitigation strategies in order to address the increasing challenges we face within cybersecurity.
Null subjects in Old Italian

In this work the complex distribution of null subjects in Old Florentine of the thirteenth century is analysed. The main theoretical question answered is the following: what are the factors that rule the distribution of null and lexical pronominal subjects in Old Italian? It is well known that there are differences between Modern and Old Italian which show that it is not possible to apply the standard view on pro drop to Old Italian. The data cannot be explained by the traditional proposal that the inflected verb licenses pro drop when it is in C°, since pro drop can also occur in non-V2 contexts. It is argued that the complex distribution of Old Italian null subjects can only be made sense of if the null subject depends on different types of null topics which have different licensing conditions in main clauses and embedded clauses.
How Education Funding Management Can Increase The Quality of Education in Vocational High Schools?

The general objective of this research is to support and analyze the management of educational funding in Vocational High Schools (SMK) in Bandung. The specific objectives in this study, namely: 1) To identify the management of educational funding at SMK in Bandung, 2) To identify the quality of SMK in the city of Bandung, and 3) To find out the role of financial management in improving the quality of education in SMK. This study is descriptive with a quantitative approach. The data source is taken from 32 school principals. The results showed that the management of educational funding had a positive and significant effect on school quality that was equal to 58.7%. The regression equation that is obtained linearly means that the higher the management of education funding, the higher the quality of schools in Vocational High Schools in Bandung.
ORGANIZATION OF INDEPENDENT STUDY OF STUDENTS OF LANGUAGE UNIVERSITY WITH CLOUD SERVICE’S APPLICATION ON MAIL.RU AND VIDEO CONTENT ON YOUTUBE

The independent study of students is an important component of the educational process in the university.The article presents the author's comprehension of the definition of independent work of students, as a type of educational activity, which is performed by students without direct interaction with the teacher, and through special materials posted on the educational portal.This article presents the experience of organization of independent work of students with placement of educational materials in cloud service on Mail.ru and use of the educational video from video hosting YouTube on the educational portal of the university.The author carried out the pedagogical experiment.Its purpose was to find out the attitude of students to the organization of classroom and extracurricular work on the educational portal of the Omsk State Pedagogical University.In the course of the study, most students expressed preferences about watching educational, cognitive videos in a foreign language and performing educational tasks with the possibility to share them with fellow students as a task for independent work.In accordance with the received information, algorithms of placement of training tasks on the cloud service, as well as application of training video materials with YouTube on the educational portal have been developed.Examples of the formulation of the tasks, which are used at classes in the university on "Practice of oral and written speech of English" and "Methodology of foreign language teaching " in the process of organization of independent work of students, are represented.