Reviewerly/exHarmony huggingface dataset:
Kinematic Analysis from Solar Panel Tracking System

In this article will present you a solar panel tracking system that will be mechanically analyzed. The solar panel can be fixed or mobile using a solar tracker which is an active system that allows the solar panels to move after the sun to capture more sunlight at an angle almost perpendicular to the panel, periodically changing its inclination and axial position. This article presents two different modes of kinematic analysis for the universal joint. The main object of the work is to eliminate the variable angular velocity due to the use of the simple cardan shaft. A technical solution with universal double articulation has been conceived, designed, and analyzed from a kinematic point of view, which, regardless of the 1 or 2 functional motors, will allow the solar system to move at a constant speed. The proposed solar panel solution with the presented adaptable mechanical structure can periodically change its inclination and axial position, regardless of the driven motor, yet the system will move at a constant speed which gives a real advantage from a dynamic point of view.
Fostering a culture of radical technological innovation within the boundaries of the educational system in higher education

For decades, emerging technologies and digitization have been identified as the great disruptors of higher education. In 2020, it is safe to say that its effect is not as nearly disruptive as once thought. To change the educational system and enter a new paradigm, a different, maybe more radical, approach is needed. As part of the Erasmus University Rotterdam (The Netherlands), ErasmusX's mission is to challenge the current educational status quo. ErasmusX aims to offer students an alternative educational experience in a rich and contextualized real-life setting. We discuss two cases of ErasmusX, an accelerator at Erasmus University Rotterdam, to show the importance of radical innovations, how universities can benefit from the high-risk projects conducted by an innovative unit, and what the added value is for students, teachers and staff.
Digital Educational Environment of the University as a Stimulating Factor of Professional and Personal Development of the Future Teacher

Digital transformation has an active impact on all aspects of a person’s daily life, including education, providing opportunities to improve the quality of teaching, the use of digital technologies. The role of the digital educational environment of the university as a space designed for collaboration, dialogue, discussions between fellow students, students and teachers is actualized. The purpose of the article is to study various approaches to understanding the category of “digital educational environment of the university”, revealing its essence, structure and opportunities for professional and personal development of the future teacher. The scientific and theoretical analysis of the concept of “digital educational environment of the university” allowed us to consider it as a managed, dynamic, interconnected, constantly developing network community of students, teachers, tools and content aimed at providing various educational tasks. The digital educational environment of the university performs a number of functions: informational, educational, communicative, social. The paper examines the pedagogical possibilities of the university’s digital educational environment as a resource for the professional and personal development of a future teacher. It is concluded that the creative application of a complex of information technology, educational and methodological tools in the educational process allows influencing the formation of methodological culture, key competencies and abilities of future teachers and ensuring the effectiveness of professional and personal development of the teacher. The effectiveness of professional and personal development is greatly influenced by the teaching staff, a positive climate, and a benevolent atmosphere for solving tasks together.
Adaptive compression of 3D models for mobile web apps

The rise of metaverse has driven the burst of 3D Web apps to provide immersive experience across heterogeneous devices. However, loading 3D models in Web apps is usually slow especially on mobile devices with limited computation capability and dynamic network condition, harming the experience of 3D mobile Web apps. In this paper, we propose an approach called 3Dispatcher to reducing the 3D model loading time by adaptively compressing the 3D models. Preliminary results show that 3Dispatcher can speed up the 3D model load by 15%-41% in different scenarios.
Construction of an Artificial Intelligence Evaluation System for the Effect of Modern Informatization Ability and English Practice Under the Background of New Liberal Arts

This paper studies the artificial intelligence evaluation system of modern informatization capabilities and the effectiveness of English practice under the background of the new liberal arts. The construction of “new liberal arts” needs to be guided by social needs, fully integrate internal and external resources, and multi-party collaboratively cultivate interdisciplinary applied talents. Practical teaching is an important link in cultivating students' practical and innovative abilities, and the discipline of investment involves multiple disciplines, and it is necessary to closely integrate modern information technologies such as artificial intelligence and big data to build a practical teaching system. Build an editorial power evaluation system under the artificial intelligence perspective, systematically evaluate micro-editing power, meso-editing power, and macro-editing power from the external, internal and external dimensions, and causal dimensions, respectively
HEAT-wave – defining a new era of cyberthreats

The acceleration of digital transformation initiatives that have catapulted users, data and business-critical applications to the cloud offers huge opportunities for businesses, but even more promise for threat actors. One of the biggest problems today is the legacy approach to security that many organisations take to protect networks from a strategic and technological standpoint: one that's cemented in ‘detect and respond’.
The General Nature of Explanation

Explanation is central to our lives, in general. We seem to have an innate (or nearly so) drive to explain and seek explanations. When our favorite app is not working, we want to know why, and we want to know how to fix it. When trying to understand why people engage in an odd behavior – refusing to wear masks during the COVID-19 pandemic, say – we want an explanation. What reasons do they have for doing something that seems so clearly misguided? Why are they resistant to expert advice on the issue? Ultimately, we seek explanations to help us understand and navigate the world around us.
Information: The History of Notion, Its Present and Future

The genesis of the concept of information, which changed and transformed depending on the epoch, is revealed; such transitional stages in changing the essential characteristics of information as the emergence of writing, the first libraries, systematization and allocation of sciences, the emergence of the first encyclopedia, semaphore and telegraph, the development of automation and the birth of cybernetics, microprocessor, the development of computer technology, the Internet, etc. are considered. Each subsequent stage of change in the understanding of information is a synthesis of all previous technologies. This article reflects the process of searching for one&amp;#x27;s own philosophical definition of information, an attempt is made to look at this problem from the point of view of using the principle of historicism and dialectical method, which determines the relevance of the research. Information is proposed to be understood as a form of transmission of human experience. Changing this form leads to the decentralization of knowledge, its universal accessibility, which ultimately precedes large-scale changes in human society. In this regard, the philosophical study of the conceptual prerequisites for understanding this phenomenon is very promising.
Motivation as a management style of a modern educational organization headmaster

The article deals with the management issues connected with motivation as a management style in a modern educational organization. The key approaches to motivation by foreign authors are given. The motivation factors are highlighted. The motivation techniques through delegating as a management style in an educational organization are presented.
Book Review: The Fiat Standard: The Debt Slavery Alternative to Human Civilization

Saifedean Ammous' 18-chapter sequel to _The Bitcoin Standard_ (2018) shows how the technology used as money directs the way a society develops. The analysis of a world dominated by fiat currency is accompanied by a discussion of the switch from a gold standard to a fiat standard, then the possible move to a bitcoin standard. Though the book appears to go overboard in its quest to blame fiat currency as cause of many, if not all, societal problems, the book undoubtedly brings to light important factors that need to be further addressed.
Transition to the digital educational environment at university

The present article examines the inﬂuence that the digital transformation process exerts on the university educational environment. The paper delves on the palette of digital technologies and educational solutions of the digital transformation in the education sector. Speciﬁc examples of digital solutions and tools which are widely accepted and actively used in modern pedagogical practice for revising and updating the current professional education programs are provided to illustrate the comprehensive approach to education. The paper raises the question of the possible impact of digitization on psychological safety of the educational environment taking account of cognitive, emotional and psychological parts of the educational process. It also reveals the positive and negative affect the digital educational products have on educational activities of students.
International competition over artificial intelligence

Artificial intelligence (AI) technology has become vastly more powerful and sophisticated in recent years. It remains fundamentally brittle and opaque, however, and this will limit its use in high-risk applications. If a race emerges between countries to develop and deploy cutting-edge AI, that competition will occur over both technological capabilities and over the more practical matter of whether these capabilities can be made to be trustworthy
Experimental network performance evaluation for human-robot interaction collision detection using cameras

A practical solution to human-robot collision detection using devices commonly found in workplaces, such as 2D cameras, requires thorough planning and evaluation of network restrictions that may deny timely access to and process important context data collected by IoT devices. In this study, we evaluate the behavior of the AMQP and MQTT application protocols for camera image transmission. We examine the packet overhead for each protocol when streaming video signals. Also, we evaluate the impact of transmission delay on the total decision time starting from the moment the camera captures an image to the moment it is decided if there is a robot-human collision or not. Finally, we also evaluated an open-source platform to emulate wireless Mininet-wifi, seeking to understand the level of influence it would have on the results. The results show that transmission overhead represents as much as 80% of the total decision time and that the AMQP protocol takes around 5% less transmission time than MQTT. The results also show that the use of hardware accelerators such as a GPU increases by 37 times the number of detections. We found that the size of the image to be transmitted and wireless communications did not influence the results for our scenario. In addition, we also noticed that the use of emulation through Mininet-wifi does not negatively influence the behavior of the experiments.
Enhanced Machine Learning Evaluation in Digital Marketing

An impending decision in front is often searched for a past presence for the purpose of gathering information from the data and to make a decision out of it. Machine Learning, a field which allows systems, a computer to be specific to make a fortunate prediction out of past information or experiences. Machine Learning being a phenomenon widely used throughout the technological advances, is constantly finding itself to be introduced to newer domains. Image processing, medical diagnosis, predictions, speech recognition and many more are among the applications of Machine Learning. Digital Marketing, too, emerges for the need and betterment with aid from the field of Machine Learning. Digital Marketing is a way of maintaining relationships with customers for your business through a way of an online medium. Digital Marketing has made the lives of local businesses a lot easier as a target audience can be reached very easily with just a bare touch of technology. Earlier in the days, Traditional Marketing was the only way for the Businesses to promote their products and services which was done by magazines, newspapers, billboards and with the word of mouth, it was capable of doing the bare minimum publicity. Introduction of Digital marketing has paved a way to reach to a wider, broader and the exact specific target audience. Local businesses are flourishing due to the aid of this type of marketing and machine learning plays a huge role in it.
Implementation of Fuzzy C-Means in Investor Group in the Stock Market Post-Covid-19 Pandemic

This study aims to implement fuzzy c-means for groups of investors in the stock market post-covid-19 pandemic. The data used in this study is primary data generated by a Likert scale. Measurement of variables in primary data using the average score of each item. The sample selection of 100 investors is because it follows the central limit theory which says that the sampling distribution curve (for a sample size of 30 or more) will center on the population parameter values and will have all the properties of a normal distribution. This study uses an analytical method, namely fuzzy c-means. The results obtained in this study are the grouping of data into various types depending on the data for each parameter owned by the type of stock. The number of iterations is also very dependent on the value of the cluster center determined in the first iteration. Originality in this study is the object of research, namely post-pandemic stock market investors using a fairly reliable data grouping algorithm, namely Fuzzy C-Means, the algorithm groups data based on the characteristics of the data they have.
Integrated Vision-Body Sensing System for Tracking People in Intelligent Environments

An integrated sensing architecture and “big data” analytics that leverages real-time human biometric monitoring with state-of-the-art human activity recognition (HAR) can open exciting new possibilities in human health and performance monitoring. We present a framework for integrating data streams from computer vision detection algorithms and on-body sensors through a series of experiments on human subjects with wearable sensors. These experiments were carried out in the MCity facility at the University of Michigan. Our tests utilize urban environments of Mcity to obtain human activity data streams from a network of accessible cameras and wearable biometric sensors transmitted via LoRa to an access point. Data are then forwarded to Amazon’s cloud computing platform, Amazon Web Services (AWS). Once on AWS, GPU servers running real-time HAR algorithms can access and integrate biometric sensor data. We show the results of computer vision tool development using image/video based object detection, tracking, and mapping. Our work of developing real-time on-body device combined with device-free activities recognition will advance capabilities of monitoring personnel in their environments for variety of industrial and defense applications.
AI for Automated Code Updates

Most modern code bases extensively rely on external libraries to provide robust functionality out of the box. When these libraries are updated they can sometimes introduce breaking changes in the process, which require extensive developer maintenance. To mitigate this we propose to use artificial intelligence to parse the text of release notes to capture code deprecations in structured form. This, in turn, enables us to develop an IDE plugin that can automatically detect deprecated library usages in live code bases and even suggest recommended fixes. We evaluated our system on over 30 internal projects within J.P. Morgan.
Influence of Time-Varying Delay on Gaming QoE

Network delay in a real network is often not fixed and it varies over time. Various types of temporal changes can exist in delay such as a variation on the amount of delay also know as jitter, the period when it happens known as serial-position effect, and the time it lasts. Each of them create a different pattern of delay which might have a different influence on gaming QoE. This chapter investigates the impact of temporal variations of delay on gaming QoE.
Ontological processing on retrieval information from natural language texts

Təbii dil mətnlərinin emalı və ya orijinal adı ilə Natural Language Processing (NLP), süni intellektin inkişafı və dilçiliklə birgə edilmiş araşdırmalar nəticəsində həyatımıza daxil olmuş bir termindir. Başqa cür desək, təbii dil mətnlərinin emalı Azərbaycanca, Rusca, İngiliscə kimi təbii dillərdəki mətnlərin, səs dalğalarının kompüter tərəfindən mənimsənilərək, müxtəlif proqramlarda təhlil edilməsi və kompüter mühitinə köçürülməsidir. Hər kəsin bildiyi kimi, təbii dil insanların ünsiyyət və həyatda qalmaq üçün istifadə etdiyi ən əsas xüsusiyyətlərdən biridir. Açar sözlər : təbii dil mətnlərinin emalı, süni intellekt, maşın tərcüməsi, semantik etiketlənmə, ontologiya Tale Namiq Talibov Ontological processing on retrieval information from natural language texts Abstract Natural Language Processing (NLP) is a term that has entered our lives as a result of the development of artificial intelligence and research combined with linguistics. In other words, the processing of natural language texts is the computer adoptering of texts and sound waves into the natural languages such as Azerbaijani, Russian and English, their analysis in various programs and their transfer to the computer environment. As we all know, natural language is one of the most important features that people use to communicate and survive. Similarly, speaking is a feature of language that occurs in all areas of our lives and is easier to express than writing. In fact, people can control all their work with voice and text. The processing of natural language texts, including our lives, will give us many advantages in doing all our work. Key words: Natural Language Processing , Machine Translation, Word Processing, Text Processing, Text Summarization, Argument Aggregation
Development of Robot Simulating Fuel Debris Retrieval

A creative robot contest for decommissioning was held as part of human resources development for decommissioning of the Fukushima Daiichi Nuclear Power Station of Tokyo Electric Power Co., Inc. In the 5th creative robot contest for decommissioning, robots were developed for fuel-debris retrieval from the lower part of the pedestal. Fukushima KOSEN developed a robot consisting of a primary robot that moves to an access port on the platform while a secondary robot is stored inside the main body. The robot collects fuel debris by lowering the secondary robot 3.2 m downward. Fukushima KOSEN also developed a graphical user interface (GUI) to visually express the motion of the robot.
Utilization of Smartphones in English Teaching and Learning at Nghe an University of Economics

The purpose of the study was to examine the use of smartphones in English teaching and learning in Nghe An university of Economics and to determine how this technology influences students’ language acquisition. Nearly two hundred students and six lecturers were selected to be the population of the study. By using a descriptive survey and the questionnaire, the study was conducted among students of the first year to third year. Some recommendations were introduced through the light of the results of the study such as: how to use smartphones as learning devices, how to take advantage of smartphones to support the teaching and learning of English in various stages of education and how to establish a training course of English language using smartphones
Activities of the Creative Robot Contest for Decommissioning at National Institute of Technology (NIT), Tsuruoka College

The purpose of the Creative Robot Contest for Decommissioning is to raise students’ interest in decommissioning through robotics, contribute to the cultivation of students’ creativity, and develop not only their problem-solving ability but also their problem-finding ability. The contest assumes fuel debris removal from the lower part of the pedestal at the Fukushima Daiichi Nuclear Power Plant. This paper describes the activities of our college in the Creative Robot Contest for Decommissioning and the robot design to overcome the challenges of the 4th and 5th contests. Whereas the 4th contest was held on site, the 5th contest was held online. To evaluate the robot that we have developed, we prepared a mock-up of the contest field at our school and conducted a demonstration. In the 4th contest, our team was the only one among the participating teams to complete the task and won the award from the Ministry of Education, Culture, Sports, Science and Technology (MEXT). In the 5th contest, we won the award from the Governor of Fukushima prefecture. The educational effects of the Creative Robot Contest for Decommissioning were great. The students who participated in the contest became more interested in decommissioning and were able to develop problem-solving skills, the ability to study independently, schedule management, and so on.