Reviewerly/exHarmony huggingface dataset:
Probabilistic Selection of Inducing Points in Sparse Gaussian Processes

Sparse Gaussian processes and various extensions thereof are enabled through inducing points, that simultaneously bottleneck the predictive capacity and act as the main contributor towards model complexity. However, the number of inducing points is generally not associated with uncertainty which prevents us from applying the apparatus of Bayesian reasoning for identifying an appropriate trade-off. In this work we place a point process prior on the inducing points and approximate the associated posterior through stochastic variational inference. By letting the prior encourage a moderate number of inducing points, we enable the model to learn which and how many points to utilise. We experimentally show that fewer inducing points are preferred by the model as the points become less informative, and further demonstrate how the method can be employed in deep Gaussian processes and latent variable modelling.
금융교육의 효과 제고를 위한 고찰

The impact of COVID-19 was beyond imagination. Most of the financial education programs have stopped. Off-school financial education providers are rushing to come up with measures for on-line education. Under the irreversible trend of expanding on-line education, this study concerns about enhancing the efficacy of financial education as a top priority. Considering that under the current technology, the positive effect of on-line education is less than that of off-line education, and that the effect of off-line financial education programs is not robust, it is of great significance and urgency to improve the effectiveness of financial education. This study addresses eight best practices for effectiveness. While these best practices are sometimes expensive to implement, they are worth challenging one by one. This study also suggests that behavioral economics can yield insights for effective financial education. A growing body of evidence of observed human behavior can be used to fine-tune a number of provisions and services to help to improve the efficacy of on-going financial education.
Revisiting the Role of Uncertainty-Driven Exploration in a (Perceived) Non-Stationary World.

Humans are often faced with an exploration-versus-exploitation trade-off. A commonly used paradigm, multi-armed bandit, has shown humans to exhibit an "uncertainty bonus", which combines with estimated reward to drive exploration. However, previous studies often modeled belief updating using either a Bayesian model that assumed the reward contingency to remain stationary, or a reinforcement learning model. Separately, we previously showed that human learning in the bandit task is best captured by a dynamic-belief Bayesian model. We hypothesize that the estimated uncertainty bonus may depend on which learning model is employed. Here, we re-analyze a bandit dataset using all three learning models. We find that the dynamic-belief model captures human choice behavior best, while also uncovering a much larger uncertainty bonus than the other models. More broadly, our results also emphasize the importance of an appropriate learning model, as it is crucial for correctly characterizing the processes underlying human decision making.
DESKRIPSI HASIL MENULIS TEKS ULASAN DALAM PEMBELAJARAN DARING DENGAN MENGGUNAKAN METODE STUDENT TEAMS ACHIEVEMENT DIVISIONS

This study describes online learning to write review texts using themethod Student Teams Achievement Divisions. Online learning is a distance learning method that has a major and significant influence in the world of education, thus teachers must innovate the learning process. In learning to write students still have difficulty in developing ideas and using language. So the researchers provided innovations in the online learning process to write review texts using themethod Student Teams Achievement Divisions. The research aimed to describe the results of the performance ofstudents, research method used is descriptive qualitative. Sample in this study was class VIII F at SMPN 2 Cimahi, amounting to 29 students. The results of this study obtained 5 students got a high score and 25 students got a sufficient score with an average value of 83, it can be concluded that the use of themethod Student Teams Achievement Divisions suitable for use in online learning material to write the review text in class VIII F.
A Survey on Image Encryption Techniques Enabled with Internet of Things (IOT)

With the growing advances in the Internet of Things (IoT) technology, which combines different devices with distinct functions, abilities, and correspondence protocols, it becomes progressively problematic to protect the privacy of data. Robust but effective cryptography solutions must be employed  to manage this issue, alongside techniques to normalize secure communications between these devices. This paper includes cryptographics techniques for an effective and efficient method of security for any data or information getting generated by any of the IoT devices.
Improving Student Reading Comprehension Through Question and Answer Relationships

Reading comprehension is the ability to process text, understand the purpose of the text and integrate with what the reader knows. The ability of individuals to understand texts is influenced by their abilities and ability to process information. The method that researchers use in this study is the question and answer method in reading. So the teacher asks students to read a text, then after that the teacher holds a question and answer session in accordance with the reading text. The main research goals of the study is improving students reading comprehension skills with question and answer method. The implementation is doing in the classroom. After doing research with all 10th grade students, SMA Muhammadiyah 5 Jakarta. This question and answer method can make students become more diligent in reading and understanding every reading and questions given by the teacher, and for teachers, asked to provide more material and methods that can make students become more active and effective in each reading subjects. The result of is some students understand this method. And there are also students who do not like this method, but more students are successful and like this method.
PREDICTING GRADE POINT AVERAGE OF ENGINEERING STUDENTS USING DEEP LEARNING TECHNIQUES

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 8531-8537ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.1726Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
Cognition in Context

Author(s): Boucherie, Palmyre H; Cimarelli, Giulia, PhD; Horn, Lisa; Slipogor, Vedrana; Bugnyar, Thomas | Abstract: The theory behind the evolution of cognition frames that cognitive processes have evolved in response to the complexity and challenges posed by the physical and social environment. To date, cognitive abilities have been mostly studied under controlled laboratory conditions that facilitate replicability and high-resolution measurements (Cauchoix, Hermer, Chaine, a Morand-Ferron, 2017). Yet, under these circumstances, cognitive abilities are evaluated in relatively stable and homogeneous situations that hardly match the species’ natural environments (Niemela and Dingemanse, 2014). Thus, results drawn from these controlled studies do not necessarily scale to the range of cognitive processes displayed by individuals in naturalistic settings (Cauchoix, Chaine, a Barragan-Jason, 2020).
Spontaneous rituals as a design model for CCIs platforms

The research investigates the sector of the Cultural and Creative Industries, with a focus on their relation with identity, communities and territories. In contemporary times, a territorial disintegration has been observed, underlay by the after covid-19, which highlights an increasing tendency towards the digitization of processes. Within these dynamics, we can see how digital collaborative models dedicated to CCIs still have considerable scope for design. This research proposes an analytical method that applies an advanced design approach to tools primarily used in anthropology. Through a morphological analysis of some selected spontaneous rituals, the research identifies categories and subcategories of design interest. The impact of these categories are then applied to the platforms dedicated to CCI with the aim of turning them into digital spaces capable of activating a closer collaboration between the actors and local communities involved.
Convolutional Neural Networks Based Motion Data Optimization Networks forLeap Motion

<p indent=0mm>It is necessary to improve the capture accuracy and precision of Leap Motion equipment, and solve its inherent problems such as finger self-occlusion and instable sampling frequency, firstly, a multi-modal synchronous hand motion capture scheme is proposed based on Leap Motion and motion capture devices, and the dataset is captured correspondingly. Secondly, a convolutional-neural-network-based hand motion data optimization method for Leap Motion is presented. The proposed network is trained to learn the mapping from Leap Motion data domain to motion capture data domain with the synchronous dataset. Finally, a coplanar constraint for human fingers is proposed, which makes the outputs maintain stable hand skeleton structure. The 967 550 frames of synchronous hand motion data are captured in 6 categories from 15 volunteers. Experiments are designed for validating of the finger coplanar constraint, testing the consistency of the optimized motion data, and the comparison with BRA (bidirectional recurrent autoencoder) and EBD (encoder-bidirectional-decoder) methods. Experiments indicate that proposed method supports for capturing hand motion data with fixed sample frequency and MoCap-like precision using a Leap Motion. Furthermore, the proposed method can obtain smoother and more stable results than BRA and EBD. The method is also applied in rehabilitation games, which significantly reduces the number of errors of hand interaction motion recognition.
Hardware Aspects of Parallel Neural Network Implementation

In this paper a parallel neural network architecture is proposed targeting efficient hardware implementation on low-resource devices. Following the introduction of the proposed technique, the novel concept is applied on two basic function approximation examples namely cos(x) and sin(x). Quantitative results are offered and discussed in terms of accuracy and hardware complexity. It is shown that the proposed technique achieves promising results when considering low-power and high-performance hardware implementations targeted to edge devices.
The INGV Arctic Ionospheric data management system and its synergy with the Italian NADC

&amp;lt;p&amp;gt;The Space Weather effects on the ionosphere considerably affect several modern technology infrastructures, such as telecommunication systems, power networks and in general systems relying on satellite navigation. The polar regions have always been a natural laboratory for the analysis of these phenomena and regular observations are required to gain better knowledge about the relationships between the ionized atmosphere and the others atmospheric layers as well as to provide support to civil aviation and maritime for the safety of the polar routes.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Istituto Nazionale di Geofisica e Vulcanologia (INGV) has a long history in acquiring ionospheric data in the polar regions and currently operates in the Arctic two permanent observatories in Svalbard (Ny-&amp;amp;#197;lesund and Longyearbyen), Norway, equipped with three GNSS receivers for scintillation and TEC measurement. An additional receiver will be installed soon at the Thule Air Base (Greenland).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The uninterrupted data production from these instruments and the necessity to provide near real-time access to this information makes it necessary to develop suited procedures and ad-hoc IT infrastructures. To address these needs the INGV designed the SWIT system (Space Weather Information Technology) for data management and the web-platform eSWua (electronic Space Weather upper atmosphere) for data dissemination. With regard to the Arctic region, the information-flow from Svalbard stations is provided by optical fibre connections and the SWIT-DBMS operates the ingestion of this data at the INGV central repository within 15 minutes or less. The eSWua website offers a GUI for near real-time and historical data visualization, while web-based tools and a RESTful web-service will provide free access to the data at different processing levels. The planning and design of this infrastructure takes advantage of the experience gained from ongoing projects like the NADC (the Italian National Antarctic Data Center).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this paper the state of the art of the INGV Arctic and Antarctic data management system for the Ionospheric and space weather data and the efforts undertaken to improve the access and availability of these information are presented and discussed.&amp;lt;/p&amp;gt;
Exploring Inspiration Sets in a Data Programming Pipeline for Product Moderation

We carry out a case study on the use of data programming to create data to train classifiers used for product moderation on a large e-commerce platform.Data programming is a recently-introduced technique that uses human-defined rules to generate training data sets without tedious item-by-item hand labeling.Our study investigates methods for allowing product moderators to quickly modify the rules given their knowledge of the domain and, especially, of textual item descriptions.Our results show promise that moderators can use this approach to steer the training data, making possible fast and close control of classifiers that detect policy violations.
The Effect of Information Technology Mastery and Job Motivation on the Productivity of Elementary School Teachers in the Semidang Aji District

The aim of this study is to identify and describe: 1) the effect of mastery of information technology on teacher performance; 2) the effect of mastery of job motivation on teacher quality; and 3) the effect of mastery of information technology and job motivation on the performance of Elementary School teachers in Semidang Aji District.The analysis approach is descriptive quantitative.The population are 102 teachers.The data collection techniques use some questionnaires and documentation.Simple linear and multiple linear regression formulas are used to evaluate data.The findings revealed: 1) mastery of information technology has a significant effect on teacher performance; 2) work motivation has a significant effect on teacher performance; and 3) mastery of information technology and work motivation have a significant impact on the performance of Elementary School teachers in Semidang Aji District.The effect of information technology mastery and job motivation on the performance of elementary school teachers in the Semidang Aji District is 26.1%; the remaining 73.9% is affected by other factors not included in the variables in this study.
통역 분야 활용 목적의 작업기억폭 검사 신뢰도 연구

Researchers interested in the relationship between working memory and interpreting tend to adopt working memory (WM) span tasks developed by psychologists as WM measurement tools. Among the most commonly used are those that consist of words and sentences such as the reading span task. The reliability of such tasks has been verified in several studies in cognitive psychology. However, no study has been found to demonstrate that reliability is maintained when the WM span tasks are administered to interpreters. This study aimed to examine and compare the reliability of reading span tasks which involve linguistic elements and that of an operation span task, a language-independent WM span task. For this purpose, student interpreters were invited to perform the WM span tasks and then the equivalent form test reliability and the test-retest reliability of the tasks were measured. The results suggest that only the operation span task is a reliable tool for testing the WM capacity of interpreters.
Penerapan Statistika dalam Industri PT Wings Surya

Priyonggo, R. M. N. G., Ong, D., Poillot, M. J.,Tanusa, Y. E., et al.(2021). ​Statistics role in the industry.Statistics is a set of equations used to analyze data and solve problems. It is commonly used all around our daily life. For example, we can look at doctors in the medical field on how they keep track of treatment progress on patients. As senior high school students, learning about statistics is a part of our school curriculum. However, we probably do not even know the full extent of how statistics work and its importance in our daily life. With this reason stated, we as a group are trying to educate more students about statistics and it’s uses. Our plan is, we took data prescribed by the company and analyzed them to find out how it was being applied in the business process. From this study, we found out that statistics played an important role for the company by helping them deal with uncertainties using a method called forecasting, decision making by providing accurate estimations, and business planning. In conclusion, statistics plays an important role in business.Keywords ​: Statistics, Senior high school students, Business companies
ONLINE VOTING PLATFORM USING MOBILE PHONE GPRS

Internet voting can use remote locations (voting from any Internet capable computer) or can use traditional polling locations with voting booths consisting of Internet connected voting systems. [1][2][3][4]In 2002, in the United States, America Vote Act mandated that one handicapped accessible voting system be provided at polling place, which have chosen to satisfy with the use of DRE voting machines, some switching entirely over to DRE.Online voting has been an issue for some peoples. They believe that online voting cannot be trusted due to uncertainty in the integrity of the machines. On the other hand, people acknowledge that paper solutions are significantly outdated. People's believed that offline voting i.e. paper voting is not safe for election. U.S. voting systems have historically responded to technological innovations. Experts generally agree that American elections will eventually employ online voting to some degree.
Numerical Solution for Radial Distortion Rectification in Optical Systems

Accurate homography estimation is a crucial step for many computer vision applications. Nevertheless, nonlinear optical camera imaging effects can introduce radial distortion, making unfeasible the pinhole model for homography estimation. In this paper, an algorithm to rectify radially distorted images using the Maple software is proposed. First, the effect of radial distortion is modeled and analyzed. Next, an inverse distortion model is developed. The proposed algorithm allows us to estimate both the homography matrix and the distortion parameters by processing images of a calibration target using the Gauss-Newton approach. Successful estimation of homographies and distortion parameters to correct real-world images is reported.
CNN-powered body and face detection for intelligent people counting in Covid-19 restricted places

In the reality of 2021's Covid-19 pandemic there are a lot of government's restrictions made to reduce the virus spread speed in the society. One of the examples of such restrictions are the people per square meter limit in public places and shopping malls. Because manual counting of each person in such places is not possible due to limited time and money resources, this limit restriction is widely abused making the pandemic outbreak more dangerous. To face this problem author has presented a novel face and body detection model for the CCTV (Closed Circuit Television) monitoring systems, that automatically counts the amount of people in the monitored area by the use of Deep Learning. © 2021 Copyright for this paper by its authors.
A Βibliometric Analysis of Intelligent Agent Researches During 2010–2020 Based on VOS Viewer

This paper is aimed uses VOS viewer to evaluate the history, current and future of publications regarding intelligent agent. Intelligent agents are sometimes called bot, short for robot. With the rapid development of communication technology and network information technology, the characteristics and functions of intelligent agent technology have been constantly expanded. In the paper, VOS viewer was used to identify and summarise the publicaitons of intelligent agent researches in Web of science from 2010 to 2020. Publication source, publication organization, authors, country, citation of articles, citation of country and organization were recorded and analyzed. Bibliometric maps of authorship, citation, co-citation and network of co-occurrence of keywords were drawn. 7378 articles and 10792 cited references were analysed. Nowadays, intelligent agent was mainly used in the research and development of intelligent search agent, digital library, e-commerce and distance education. As for researchers and practitioners, this paper suggests an analysis of integrated visualization in terms of the knowledge and innovation based on the area of Intelligent agent or virtual agent.
Explore In Teaching Using Data-Mining Technique

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Designing of Web-Based Learning Media for Senior High School During The Covid-19 Pandemic

The learning process of Senior High School level is done by various methods. In the current pandemic condition, a learning process is needed that is implemented with strict health protocols. One alternative method of the effective and online learning processes is by learning to use web-based learning media. The creation of learning media in this study uses a prototype model, which consists of listening to needs, building mock-ups and evaluating mock-ups. As a sample of research is SMAS Wiyata Mandala Balai Batang Tarang, with data collection techniques used consisting of interviews, observations and library studies. The media designed in this study provides facilities to three (3) level users, namely administration, teachers and students. Administration can manage administrative data, majors, subjects, classes, students, teachers, teaching teachers, announcements and access student achievement reports. Teachers can manage to manage teaching materials, problem banks, meeting schedules and access student achievement reports. Students can access modules, work on weekly meeting questions and access the grades in the meeting results. This designed learning media is expected to help SMAS Wiyata Mandala Balai Batang Tarang in carrying out the learning process and can improve student achievement even in the midst of the pandemic.