Reviewerly/exHarmony huggingface dataset:
Development of Bolt Type Force Sensor using Strain Gauges

This paper proposes a new bolt type force sensor that measures forces applied to an object fixed by the sensor. This sensor consists of a general metal bolt and four strain gauges. Due to the feature of the bolt type sensor, it can measure the force applied to the object without extra jigs and gaps. In this report, the structure of the sensor is introduced and its calibration strategy is discussed. Finally, a force measurement experiment is conducted.
1DoF transforming drone for delivering box-shape objects

Our team developed mechanism that aims securing regidity and reducing weight of UAV by constructing with box-shape objects. It is a mechanism that feeds out box-shaped objects one by one, and the transfer efficiency is improved by performing multiple transfers. In this paper, we describe the trial production and operation test of the individual feeding mechanism, and confirm that the rigidity is secured.
Wide-Area Exploration Using a Wire-driven Towing System and Passive Mobile Robots

In this study, we propose a wide area exploration system that combines wire towing system and passive mobile robots. Passive mobile robots loaded with exploration sensors are driven by a pulling force from wire towing system and can move to desired location by steering control. In this paper, we expand the search range by increasing the number the towing units, derived the explorable range that the passive mobile robot can be explored, and verify the explorable range by experiments. In addition, we propose a method of round-trip trajectory and verify its effectiveness by experiments.
Summary of the Book

This chapter provides a summary of various research presented in the video surveillance system. In addition, the future research direction in object detection and tracking in digital video is also pointed out in the chapter.
HOMO EUDAIMONICUS: A ROLE OF A NEW ANTHROPOLOGICAL MODEL IN REFORMATTING A CONTEMPORARY SYSTEM OF EDUCATION

Peculiarities of a new anthropological model homo eudaimonicus are analysed, as well as the specificity and perspectives of its implementation in the contemporary system of education. The efficiency of homo eudaimonicus model for the achievement of sustainable and lasting happiness, increase of life satisfaction level and enhancement of environmental behavior of a person is elucidated. It is explicated that the purpose of happiness-oriented education is to teach children ways of achieving happiness from socially useful activities. Methodsand techniques for mastering the temporal continuum of happiness are suggested, that is to experience happiness due to happy memories, appreciation of the present and positive scenarios of the future. Keywords: homo eudaimonicus, happiness, happiness-oriented education, social business, environmental awareness.
Study on influence of road surface on estimation accuracy of a relative position of multiple omnidirectional mobile robots

In this paper, we described the development of an object moving robot at a construction site using the mutual position estimation method of multiple omnidirectional mobile robots using only internal sensors. Today’s material transportation requires multiple personnel and is a repetitive and frequent task. To solve this problem, multiple small robots are used for transportation. By properly moving each robot restrained by the material by hand, mutual position estimation between the robots becomes possible, and it is possible to move by operating the controller. In this paper, we conducted an experiment to estimate the mutual position between the robot and the center of rotation using an internal sensor, and verified how the accuracy is affected by the difference in the road surface.
TECHNO-SYMPHONY “RETHINKING PROGRESS” BY VICTOR ARGONOV: CULTURAL CONTEXT AND FACETS OF POLYSTYLISTICS

The symphony “Rethinking Progress” by V. Argonov is considered to be the first techno-symphony in Russian musical culture. The origin of techno-symphony is connected to the process of convergence of academic and electronic music at the turn of the 20–21st centuries and the emergence of new techno-art forms. The conditionality is revealed between the style specifics of the symphony “Rethinking Progress”, the cultural context of the epoch and the influence of polystylistic trends. The musical text of the techno-symphony contains features of an academic symphonism, including the preservation of the cyclic structure and the dramaturgical functions of parts, the existence of the conflict between the main thematic areas, the elements of programme music and the system of leitmotifs. The composer follows the style of electronic music in general, however, in each of the five movements of the techno-symphony, different styles are found: “pixel music”, techno-trance and other styles. Also the polystylistics appears in the using of typical techniques – quote, auto-quote, allusions.
Dual-Branch Feature Fusion Network for Salient Object Detection

Proper features matter for salient object detection. Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered features. We present the dual-branch feature fusion network (DBFFNet), a simple effective framework mainly composed of three modules: global information perception module, local information concatenation module and refinement fusion module. The local information of a salient object is extracted from the local information concatenation module. The global information perception module exploits the U-Net structure to transmit the global information layer by layer. By employing the refinement fusion module, our approach is able to refine features from two branches and detect salient objects with final details without any post-processing. Experiments on standard benchmarks demonstrate that our method outperforms almost all of the state-of-the-art methods in terms of accuracy, and achieves the best performance in terms of speed under fair settings. Moreover, we design a wide-field optical system and combine with DBFFNet to achieve salient object detection with large field of view.
Motion Planning on Latent Space using Variational Autoencoder

This paper proposes motion planning in low-dimensional space, so-called latent state space, embedded by variational autoencoder. We hypothesize that the path passing latent states with high likelihood works as motion planning. Assuming latent states follow the normal standard distribution, finding the path can be seen as a two-point boundary value problem of an ordinary differential equation. Then, the proposed method makes an agent follow the path by a policy pre-trained by reinforcement learning. We evaluated the proposed method in simple maze environments and found that the proposed method works well for long-horizon tasks and has a low computational cost.
Retraction: Deep learning based Food Recognition using Tensorflow (J. Phys.: Conf. Ser 1916 012149)

This article has been retracted by IOP Publishing following an allegation that this article contains text overlap from multiple unreferenced sources [1, 2]. IOP Publishing has investigated and agrees the article constitutes plagiarism. IOP Publishing also expresses concern regarding a number of nonsensical phrases used in the article, which suggests the article may have been created at least partly by artificial intelligence or translation software. IOP Publishing wishes to credit the PubPeer commenters for bringing the issue to our attention. The authors disagree to this retraction. 1. G. A. Tahir and C. K. Loo, "An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines," in IEEE Access, vol. 8, pp. 82328-82346, 2020, doi: 10.1109/ACCESS.2020.2991810. 2. Wang H., Min W., Li X., Jiang S. (2016) Where and What to Eat: Simultaneous Restaurant and Dish Recognition from Food Image. In: Chen E., Gong Y., Tie Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science, vol 9916. Springer, Cham. https://doi.org/10.1007/978-3-319-48890-5_51. Retraction published: 10 January 2022
Goal-Conditioned Reinforcement Learning with Latent Representations using Contrastive Learning

The goal-conditioned reinforcement learning approach is useful when an agent wants to adaptively achieve arbitrary goals in various environments. Furthermore, it is desirable to be able to learn the behavior of an agent from observations from on-board sensors such as RGB cameras. Since it is difficult for agents to learn directly from images, previous research has shown that the learning process can be accelerated by learning latent representations using VAEs and performing goal-conditioned reinforcement learning in the latent space. However, latent representations learned using VAEs with image reconstruction loss contain information irrelevant to the task to be accomplished. In goal-conditioned reinforcement learning, the reward function is defined as the distance to the goal state, so latent representations that capture the distance between states are appropriate. In this study, we propose a method for maintaining the similarity between states in the latent space using contrastive learning and performing goal-conditioned reinforcement learning in the latent space given image observations. We compared the proposed method with that using latent representations obtained from VAEs, and show that our method outperformed the other.
Digital Present And Future Of Forensic Science

In recent years the active computerization in all spheres of society has led to digitalization and globalization of crime with new distant methods and mechanisms for committing various types of crimes.This leaves digital footprints of criminal activity in computer memory and other electronic devices and networks, as well as in distributed information storage systems.Electronic digital footprints are left and stored in the memory of information technology devices.The forensic value of distributed storage systems and cloud services is difficult to overestimate.Law enforcement agencies deal with these types of storing information in cases of copyright infringement, as well as illegal distribution of certain content: child pornography, extremist materials, and so on.Blockchain and blockchain-based cryptocurrency (bitcoin) are widely used for illegal financial schemes through the Darknet.Meanwhile law enforcement agencies are often poorly familiar with the feature set of distributed information storage systems.In order to ensure effective counteraction to digital global crimes, activities of law enforcement agencies should be provided with electronic communication technologies.Forensic science, designed to promote a highquality fight against crime through the development and implementation of various tools, techniques and methods, in this regard, requires a significant digital transformation, which will provide an innovative approach to the detection, investigation and prevention of crimes.All sections of criminology are subject to these changes.These statements prove the relevance of this study, setting theoretical and applied provisions and recommendations aimed at further development of forensic science and improving the effectiveness of countering modern digital crime.
Attitude Control for Cooperative Transportation by Multiple Coaxial-UAVs

With recent developments in UAV technology, manned work has been replaced by multi-copters. Furthermore, the integration of cameras and sensors has made it possible to fly beyond visual line-of-sight, and UAVs are expected to be used for transporting. However, transporting with a single UAV becomes larger and more expensive due to the payload problem. Therefore, we propose a cooperative transportation system using multiple Coaxial-UAVs. In this paper, we control the attitude of the Coaxial-UAVs using STA architecture. The STA architecture uses Neural-Network to learn motions according to the state of the environment without considering the overall system modeling and the positional relationship between the UAVs. In the experiment, we investigate the attitude control using multiple Coaxial-UAVs with the test bench limited to 1 DoF. As a result, it was suggested that the attitude control is possible even in the asymmetrical balance of the UAVs.
The Educational Meaning of Yanyuan(顔元)’s 『Sicunbian(四存編)』

This study attempted to examine the educational meaning through Yannyuan's 『Sicunbian(四存編)』. Here, Sicun(四存) refers to cunxing(存性), cunxue(存學), cunzhi(存治), and cunren(存人). Here, cunxing is about personality, cunxue is about politics, and cunren is about religion, and Yanyuan wrote his theories of ｢cunxingbian｣, ｢cunxuebian｣, and ｢cunzhibian｣. Through 『Sicunbian』, Yanyuan emphasized epidemiological knowledge and practice, criticized politics, and insisted on the practicality of Gyeongsechiyong(經世致 用). Yanyuan emphasized practice and expressed the importance of practice in learning through 『Sicunbian』. In addition, through 『Sicunbian』 education is said to be important acquired in order to secure the original goodness of human beings and to express this goodness. This study explored the educational meaning that Yanyuan wanted to reveal through ｢cunxuebian｣, and ｢cunxingbian｣
Nowcasting and Forecasting COVID-19 Cases and Deaths Using Twitter Sentiment

Real-time access to information during a pandemic is crucial for mobilizing a response.A sentiment analysis of Twitter posts from the first 90 days of the COVID-19 pandemic was conducted.In particular, 2 million English tweets were collected from users in the United States that contained the word 'covid' between January 1, 2020 and March 31, 2020.Sentiments were used to model the new case and death counts using data from this time.The results of linear regression and knearest neighbors indicate that sentiments expressed on social media accurately predict both same-day and near future counts of both COVID-19 cases and deaths.Public health officials can use this knowledge to assist in responding to adverse public health events.Additionally, implications for future research and theorizing of social media's impact on health behaviors are discussed.
Principles of psychological and pedagogical support of the distance learning process in the aspect of reducing the anxiety of schoolchildren

This problem is now in the field of view of the world's leading educators and psychologists. The article suggests approaches to the creation of a solid theoretical base that would allow the implementation of psychological and pedagogical support of schoolchildren in possible conditions of distancing in order to create a comfortable psychological environment and maintain the quality of education. The article describes the principles on which the organization of distance learning is based, aimed at reducing the level of anxiety. The principles deduced by the authors are selected from the entire content of the general didactic foundations of learning, taking into account the conditions, goals and objectives of online education. The conclusions made by the authors allow us to determine the features of distance learning, to identify the vectors that form the pedagogical problem associated with the psychological and pedagogical support of the education process at a distance. The developed theoretical framework in the future will allow for a comparative analysis of the features of offline and online ways of organizing the educational process, to determine the tools for diagnosing the results of two forms of learning, to justify a set of measures to create a comfortable psychological environment for the student both individually and in collective formats of the organization. The study of anxiety is becoming today one of the problems that require immediate solutions. Keywords: distance education, principles of teaching, psychological and pedagogical support, organization of training, teacher, student, school isolation anxiety.
Other Wave Equations

This chapter extends the discussion of waves beyond the longitudinal oscillations with which we began. Here, we look at the wave equation as it arises in electricity and magnetism, in Euler's equation and its shallow water approximation, in ``realistic" (extensible) strings, and in the quantum mechanical setting, culminating in a quantum mechanical treatment of the book's defining problem, the harmonic oscillator.
Clarifying the reason why home-economics students have fear of robots

In order that people are willing to accept life-support robots in their life, we would like to understand the reason why they refuse such robots. We hypothesize that the refusal is caused by the fear of the robots. To prove this hypothesis, we conduct a questionnaire, lecture, and group discussion to home-economics, science, and robotics students. In the questionnaire, we ask students to estimate the applicability of the robots to various occupations. We guess the over-estimation or under-estimation of the robots’ performances leads to fear. Following the questionnaire, we arrange the group discussion. In this paper, we will report five elements related to the fear of robots that are obtained by the aforementioned activity. These are robots’ appearance, communication ability, human-robot relationship, knowledge of robots, and unfamiliarity with robots.
Augmented Reality Applied in Subak Museum: Preserving Local Wisdom Subak Concept

Augmented reality is becoming a trend and an important element in today's digital world, not only in the world of education but also already interacting with business and organizational services.Museums as public service organizations need to change the look to be attractive and in demand by visitors and be up to date.Subak Museum is a public organization that stores a large collection of agricultural tools that have high knowledge value and need to be preserved.The purpose of this research is to develop Augmented reality in subak museums.4D development models (define, design, development, disseminate) are used in the development and have been through expert appraisal.In the trial of 25 respondents obtained results that are practical aspects with a result of 67% practical, 23% very practical, and 10% impractical.While in the aspect of effectiveness obtained results 86% very effective and 14% ineffective.The results showed that augmented reality museum subak has received a positive response from respondents but needs a more in-depth assessment related to user experience design (UXD).
Voting Based CAD Model for Breast Cancer Classification

For the diagnosis of any disease, the design of Computer-Aided Diagnostic (CAD) model is a significant one that guides physicians to ensure their opinion on diagnosis and so it influences the decline in mortality of breast cancer. This paper intends to devise a CAD model for mammogram classification i.e. benign or malignant and the same is done in three steps. The pre-processing phase aims for the removal of noise, pectoral muscle, and other unwanted objects. The region of interest (ROI) is extracted from the pre-processing step. Then extraction of features is carried out by making use of two-dimensional discrete wavelet transform (DWT), and the significant features are selected by applying the discrimination power analysis (DPA) technique. Eventually, the last step involves the classification using the Logistic Regression Classifier (LRC), Nu-Support Vector Classifier (Nu-SVC), Complement Naïve Bayes classifier (CNBC). Finally, the above said classifiers are conceptually combined by making use of the average predicted probabilities to obtain robust performance. The CAD model is evaluated with the MIAS dataset that provides a classification performance of 97.39% accuracy with a soft voting technique.
Khaldun: GOAP for both Procedural Level generation and NPC Behaviors

We investigate the capability of Goal Oriented Action Planning (GOAP) to perform a double-objective: (1) to control the Non-Player Character (NPC) behaviors, and (2) to generate dungeon levels. We demonstrate its application for a 2D custom platformer roguelike game. Our first results show GOAP's ability to generate a wide range of playable and stable dungeon levels while producing unpredictable NPC actions.
Review on adaptation of augmented reality as training and learning methods in manufacturing and industrial engineering

Augmented reality (AR) is dispersed in the manufacturing and industrial engineering disciplines due to its ability of actualising situations, which could not be replicated using physical means. Besides the fact that many reviews have been carried out in the areas of AR training, learning methods and tools of distant learning, this paper identifies the areas which are not previously fully grasped by the previous literature. This study is followed by an extensive bibliometric and content analysis with the bibliometric analysis focused on the country-wise, document-wise, keyword-wise and year-wise contributions. Through content analysis, the state of the art AR technologies, current methods of AR learning and training concepts and pervasion of AR tools and their drawbacks were identified. The findings of this systematic review reveal that more real applications and virtual environments should be facilitated instead of conceptual approaches for distant learning as well as for the manufacturing and industrial context.
Detection of human and birds using a fulldome camera

The fulldome camera is a camera that can capture images in all directions, including up and down, from the shooting point in a single shot. In this study, we aim to detect people and birds in an image taken by a fulldome camera. As a result, we can detect small people in the image by dividing the image into small parts. We also try to detect birds, but it is difficult to detect them. In the future, we aim to make bird datasets and detect them with high accuracy.
Human Following Control for Mobile Robot by Estimating Human Posture with Weighted Least-square Method and Virtual Connecting Model

This study describes the human position/posture estimation method and follow-up modeling for human-following robots. For the posture estimation of a person, we propose a posture estimation method that applies the weighted least squares method to the contour points around the chest of the person measured by the laser range sensor. Regarding the modeling of the tracking system, we propose a dynamic connection model in which the robot follows the leader’s back as the target coordinates by connecting the person and the robot with a virtual rod.
PENINGKATAN MINAT BELAJAR SISWA DAN KEAKTIFAN BELAJAR SISWA KELAS VII

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Neutro-Intelligent Set is a particular case of the Refined Neutrosophic Set

In this short note we show that the newly introduced concept of Neutro-Intelligent Set (NIS) deserves attention in its applications to the human brain activity, and that NIS is a particular case of the Refined Neutrosophic Set.
Create Brief Member Resource Tutorial Videos

The Membership Management ReportVolume 18, Issue 2 p. 4-4 Member Orientation Strategies Create Brief Member Resource Tutorial Videos First published: 03 January 2022 https://doi.org/10.1002/mmr.31849Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue2February 2022Pages 4-4 RelatedInformation