Reviewerly/exHarmony huggingface dataset:
Formation of the Leningrad Institute of Pedology and Defectology in the 20s of the XX century.

The subject of the study is the historical aspect of the formation of the Institute of Pedology and Defectology. The object of the study are the archival materials of the Central State Administration of St. Petersburg, the Central State Educational Institution of St. Petersburg, the GARF (resolutions, minutes of meetings, reports, circulars, notes and other documents of the Psychoneurological Academy, the Petrograd Pedological Institute, the Institute of Preschool Education, the Petrograd Pedagogical Institute of Social Education of Normal and Defective Children, and, directly, the Institute of Pedology and Defectology). The author examines in detail the controversial points in the work of these institutions, attempts to explain the mergers and "consolidation" of departments and universities under study into unified educational organizations. The aim of the work is to reconstruct the process of integration of educational institutions of higher education on the example of the Institute of Pedology and Defectology. The main conclusions of the study, conducted using methods of historical analysis, systematization of factual material of documents, are: inconsistency of activities within educational institutions with a wide range of departments, the emergence of numerous educational organizations with similar functions (after 1918, the opportunity to organize an educational institution, the main activity of which will be in the field of social engineering and concern the development of the child did not leave labor, since there was a need to work with children's groups), frequent changes of subordinate organizations to monitor the activities of universities, inconsistency of financial support from the state and the results offered by institutions and organizations, an attempt to standardize the educational space to improve the quality of education by senior management after 1921 (Decree on the management of universities), formal execution of orders, etc. A special contribution of the author is an appeal to the business correspondence of the institutions under study.
Theater as Data: Computational Journeys into Theater Research. By Miguel Escobar Varela. Ann Arbor: University of Michigan Press, 2021. Pp. 248. £53.27/$71.95 Hb; £22.17/$29.95 Pb.

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Intelligent Control Design for PV Grid-Connected Inverter

This work provides adaptive interval type 2 fuzzy approximation control to solve the uncertainty and nonlinearity concerns of photovoltaic (PV) grid-connected inverter system (GCIS). Without the previous controlled system mathematical model, the suggested controller uses a fuzzy system estimate and the feedback linearization concept to estimate the controlled system's unknown nonlinear functions and monitor given reference values. The great capability of interval type 2 fuzzy logic system (IT2FLS) to deal with uncertainty is used. The updated law of the control parameters and the closed-loop stability were established using the Lyapunov function.
Emerging Technologies and Their Applicability to Solving Challenges in the Carbon Markets: An Overview

The fourth chapter provides the attributes that DLT has that can make it unique when solving climate issues. It considers the overlap between the traditional legal structures in a system and the modern crypto-legal proposals and provides solutions to the security issues arising under the EU ETS.
Change of Paradigm on LMS for Online Education: LMS Implementing Learning Analytics and Online Assessment

Purpose: Online education has increased due to the development of the information and communications technology and the Covid-19 pandemic, which requires to re-define foundational concepts including talented people. In this study, we examine and re-define concepts of roles and functions in LMS and demonstrate an example of LMS fitted to online education. Methods: Systematic review was applied to examine the roles and functions in LMS, which allows to re-define online education. Based on literature review and case study, we explored specific approaches of LMS to help student learning. Also, we demonstrated learning analytics and online assessment as primary functions of LMS via a well-developed LMS. Results: Study results summarize two-folds of LMS: the one is learning analytics and the other is online assessment. That is, LMS should be designated based on learning analytics that indicates student’s learning progress and predicts student’s achievement. LMS should also include ‘on-the-fly’ online assessment that measures student’s learning within online education. Based on these aspects of LMS, we introduced a LMS, called CLASS. Implications: Research on LMS for online education should be collaborated with learning analytics and online assessment, which boosts a convergence research encompassing three topics for online education. Results also inform that LMS plays a key role in cultivating people of talent for 4th industrial revolution and in improving fairness in educational opportunities.&#x0D;
A Tool for Supporting the Teaching and Modeling of Software Ecosystems Using SSN Notation

Software Ecosystems (SECO) are a set of actors and components that work as a unit, which establish relationships based on common interest to provide solutions or services for the software industry. As a company or organization expands its relationships and begins to interact with external actors, a network is formed and SECO includes both the actors and the involved artifacts. However, SECO is not commonly taught in the Software Engineering disciplines. The activity of modeling a SECO can assist in a better visualization and understanding of relationships. However, there is no official modeling standard for SECO, and the notations are quite varied. In this scenario, SSN (Software Supply Network) notation emerged to try to fill this gap. An eminent problem in the literature is the lack of support for modeling using SSN notation, the lack of available models and maintenance of models in general. In this context, this work aims to present a tool to support the teaching and modeling of SECO using the SSN notation, and thus alleviate the problem of the lack of specific modeling tools for SECO. In this work, the tool was applied in Software Engineering classes, where students filled out a questionnaire and a qualitative analysis was performed on the results. In general, the tool pleased both in terms of usability and understanding of SECO. Qualitative analysis revealed that the tool collaborates for SECO modeling, but it can improve usability and design, and there is a need for documentation and support for SECO teaching and modeling.
Opinion Mining Using Normal Discriminant Piecewise Regressive (NDPR) Sentiment Classification Technique

Sentiment analysis through opinion mining is determined through significant and growing interest for many industries including hotel, tourism, educations and so on. Sentiment analysis includes design of the system to search the user opinions in blog posts, comments, reviews or tweets regarding the product, policy or area. Many researchers carried out their research on opinion mining to identify the polarity of the statements. But the main problem during opinion mining is that the words chosen do not solve attribute relevancy and could not classify the positive and negative usage of uncertain terms. In order to address these problems, normal discriminant piecewise regressive (NDPR) sentiment classification technique is introduced. NDPR technique perform three processes, namely, pre-processing, feature extraction and classification to improve the accuracy level through forming classes (i.e., positive, neutral and negative) based on the extracted words from user review comments. Initially, NDPR technique performs the data pre-processing task for stemming and removing the stop words from review statements to reduce the file size that in turn improves the efficiency. After that, normal discriminant feature extraction process is carried out in NDPR technique to extract the opinion word from the review statements sent by reviewers. The related opinion words are systematized for their semantic equivalence of sentiment based on extracted word. This helps to reduce the time consumption to extract the opinions from reviewers. Finally, piecewise regressive sentiment classification (PRSC) process is carried out in NDPR technique to analyse the semantic opinion words for evaluating the sentiment class label. The sentiment class labels are categorized into positive, neutral and negative sentiments with the user review comments. This in turn helps to reduce the time consumption to extract the opinions from reviewers and to improve the review detection accuracy. The performance evaluation of NDPR technique is carried out with standard benchmark datasets of consumer product and services reviews extracted. The parameters used in evaluation are number of customer review words, accuracy, time complexity (TC) and false positive rate. Experimental analysis shows that NDPR technique reduces the time to extract the opinions from reviewers and false positive rate.
PROJECT-BASED RESEARCH IN THE PRACTICE OF INTRODUCING INNOVATIVE TEACHING METHODS IN HIGHER EDUCATION

PROJECT-BASED RESEARCH IN THE PRACTICE OF INTRODUCING INNOVATIVE TEACHING METHODS IN HIGHER EDUCATION Victoria Kungurtseva PhD in Economics, associate Professor of the Department of Information and Communication Technologies in Education, Samar
Design of Self-Driving Bulldozer System

To improve the efficiency of manual operations in the coal bunker, a completely automatic system based on multi-sensor perceptual positioning and map-based clearance planning is proposed. Firstly, the perceptual positioning link combines semantic segmentation to improve the traditional feature extraction and restricts the loop keyframe by using brute force matching, which improves the localization ability of simultaneous localization and mapping (SLAM) in the coal bunker. Compared with the incremental map maintenance strategy, a neighboring strategy is proposed to update the map in the dynamic environment of the coal bunker. Secondly, in response to the requirements of the coal bunker cleaning operation, based on the SLAM positioning results, we formulate behavior planning combined with a hierarchical finite state machine (FSM) and a grid map-based motion planning. The proposed clearing plan combines the geometric characteristics of crawler rakes, reduces the error of trajectory tracking, and improves the smoothness of trajectory curvature. The system can realize accurate real-time positioning in the bunker environment, and successfully complete the requirements of cleaning. In addition, a high simulation environment based on the unreal engine is built to verify the effectiveness and robustness of the system.
Domain-Centered Support for Layout, Tasks, and Specification for Control Flow Graph Visualization

Computing professionals in areas like compilers, performance analysis, and security often analyze and manipulate control flow graphs (CFGs) in their work. CFGs are directed networks that describe possible orderings of instructions in the execution of a program. Visualizing a CFG is a common activity in developing or debugging computational approaches that use them. However, general graph drawing layouts, including the hierarchical ones frequently applied to CFGs, do not capture CFG-specific structures or tasks and thus the resulting drawing may not match the needs of their audience, especially for more complicated programs. While several algorithms offer flexibility in specifying the layout, they often require expertise with graph drawing layouts and primitives that these potential users do not have. To bring domain-specific CFG drawing to this audience, we develop CFGConf, a library designed to match the abstraction level of CFG experts. CFGConf provides a JSON interface that produces drawings that can stand-alone or be integrated into multi-view visualization systems. We developed CFGConf through an interactive design process with experts while incorporating lessons learned from previous CFG visualization systems, a survey of CFG drawing conventions in computing systems conferences, and existing design principles for notations. We evaluate CFGConf in terms of expressiveness, usability, and notational efficiency through a user study and illustrative examples. CFG experts were able to use the library to produce the domain-aware layouts and appreciated the task-aware nature of the specification.
Research on algorithms of computer image intelligent recognition and deep learning

In recent years, with the rapid development of science and technology in my country, people's requirements for computer information technology have become higher and higher. In order to better explore new things, engineers and technicians need to continuously optimize computer information processing systems to help people better solve practical problems. The article mainly analyzes the development process of computer intelligent image recognition algorithms, expounds the computer intelligent image recognition algorithm, and finally puts forward the technical application of computer intelligent image recognition algorithm, which provides a certain research foundation for related staff.
Deep Reinforcement Learning-based Bitrate Adaptations in Dynamic Adaptive Streaming over HTTP

Dynamic adaptive streaming over HTTP (DASH) has been a superior video streaming technology in recent years. Bitrate adaptation function at video player plays a vital role in guaranteeing a high quality-of-experience for the users. This work evaluates the performance of several advanced deep reinforcement learning algorithms, i.e., deep Q-learning, actor-critic, and proximal policy optimization, applied in bitrate adaptations and compares them with other rate adaptation methods with real-trace datasets.
QoEVMA'22: 2nd Workshop on Quality of Experience (QoE) in Visual Multimedia Applications

Nowadays, people spend dramatically more time on watching videos through different devices. The advanced hardware technology and network allow for the increasing demands of users viewing experience. Thus, enhancing the Quality of Experience of end-users in advanced multimedia is the ultimate goal of service providers, as good services would attract more consumers. Quality assessment is thus important. The second workshop on "Quality of Experience (QoE) in visual multimedia applications" (QoEVMA'22) focuses on the QoE assessment of any visual multimedia applications both subjectively and objectively. The topics include 1) QoE assessment on different visual multimedia applications, including VoD for movies, dramas, variety shows, UGC on social networks, live streaming videos for gaming/shopping/social, etc. 2) QoE assessment for different video formats in multimedia services, including 2D, stereoscopic 3D, High Dynamic Range (HDR), Augmented Reality (AR), Virtual Reality (VR), 360, Free-Viewpoint Video(FVV), etc. 3) Key performance indicators (KPI) analysis for QoE. This summary gives a brief overview of the workshop, which took place on October 14, 2022 in Lisbon, Portugal, as a half-day workshop. The complete QOEVMA'22 workshop proceedings are available at: https://dl.acm.org/doi/proceedings/10.1145/3552469
Distributed Cooperation

I am sharing my experience using my home as a living laboratory for connected systems. The constraint of working with a disparate range of gear and protocols forces me to think about how systems scale. The constraint of using available gear is liberating because it limits my ability to depend on any particular platform. This parallels the way the Internet can take advantage of any opportunity for connectivity because it treats each path as a resource rather than depending on layers of services.
Affective writing in 'teacher-mom' life: The intra-action of an early childhood teacher and her daughter

본 연구의 목적은 한 영유아 교사와 딸의 내부 작용을 ‘선생님-엄마’ 삶의 감응적 글쓰기를 통해 드러냄으로써, 교사이며 엄마로서의 한 여성의 삶이 사회적 지평으로 연결되는 여정과 의미를 영유아 교사의 존재론적 관점으로 들여다보는 데 있다. 이를 위하여 자문화기술지 질적 연구 방법을 활용한 감응적 글쓰기를 통해 연구자의 삶을 드러내었다. 연구 결과 첫째, 영유아 교사였던 나는 ‘선생님’이라는 존재에서, 낯선 신비함과 농도 짙은 숭고한 기쁨을 느끼는 ‘엄마’로 호명되는 존재로 다시 태어나는 삶을 겪었다. 둘째, ‘선생님’ VS ‘엄마’로 대결하며 내(선생님)가 나(엄마)를 평가하는 파편적인 삶 속에서 답을 내릴 수 없는 삶의 질문에 마주쳤고, 슈퍼우먼이 되려고 발버둥 치면서도 스스로 실격과 낙제점을 주는 흔들리며 휘둘리는 삶을 살았다. 셋째, 연구자인 ‘선생님-엄마’를 품어주는 딸의 삶으로 인해 서로에게 감응하며 미안한 슬픔에서 감사한 기쁨으로 회절 되어 삶에 몰입하게 되었다. 넷째, 삶의 근력이 생성한 안목으로 타인과 사회가 구성한 담론을 뛰어넘고, ‘선생님-엄마’ 고유의 방식으로 삶을 긍정하며 딸과 함께 나아가게 되었다. 이 연구의 결과는 일과 양육을 병행하는 사회 속 여성으로서의 영유아 교사가 겪게 되는 경험이, 좋은 엄마 되기라는 모성 담론의 지배에서 벗어나 자기 삶을 통해 힘을 기르고, 나름의 고유한 방식으로 삶의 방향을 긍정하며 나아가는 주체적인 존재로 성장하는 데 하나의 관점을 제공할 수 있을 것이다.The aim of this study is to reveal the inter-action of an early childhood teacher and her daughter through affective writing of a 'teacher-mom' life, thereby looking into the journey and meaning of a woman's life as a teacher and mom leading social horizons from the ontological perspective of an early childhood teacher. To do so, the life of the researcher was disclosed through affective writing using the qualitative research method of autoethnography. The results of this research were as follows. Firstly, I, who was an early childhood teacher, went through a life of reborn as a being a 'mom' who felt unfamiliar mystery and deeply noble joy. Secondly, while competing with myself as 'a teacher' versus 'a mom', I confronted the question of life that I could not answer in a fragmented life, in which I (teacher) evaluated me (mom), and I struggled to become a superwoman. But I lived an unsteady and swayed life with disqualification and a failing grade. Thirdly, due to the life of my daughter who embraced this researcher who is a 'teacher-mom' and by emotionally responding to each other, I was diffracted from sorry-sadness to grateful-joy and immersed in the life. Fourthly, with the perspective created by the strength of life, I went beyond the discourse constructed by others and society, and I moved forward with my daughter by affirming life in the unique way of 'teacher-mom'. The results of this study show that the experience of an early childhood teacher as a woman in the society who balances working while parenting, could provide a perspective on freeing women from the dominance of maternal discourse of becoming a good mom, affirming the direction of life in their own, and growing into independent beings in unique ways.
Establishment of Standard Process for University Technology Transfer Using SNA methodology

본 연구는 대학의 기술이전 사례를 중심으로 특허의 네트워크 분석 및 연관성 도출을 통해 수요기업의 수요에부합하는 특허 기술 발굴로 기술이전을 활성화하는 방안을 모색하고자 하였다. 소셜 네트워크 분석 방법론을 채택하여 사이람의 넷마이너 소프트웨어를 분석 툴로 하였다. 수집한 특허 데이터를 전처리 가공하여 특허 IPC, 발명자 소속 및 지원사업 간 네트워크 분석을 진행하는 한편, 특허의 시장력과 영향력 분석을 위하여 패밀리 특허와 피인용 수를 활용하였다. 데이터 가공과 분석 절차의 반복으로 네트워크의 구조를 도출하여 기업수요 맞춤형 표준프로세스를 구축하고자 한다. 연구 결과, 첫째, 기관의 특화 분야인 바이오 기술을 중심으로 한 융․복합 기술의 이전 수요를 확인하였다. 대학의 특화 분야와 기술이전 수요기업의 수요를 고려하여 융․복합 기술을 적극적으로 창출한다면 기술이전 활성화를 도모할 수 있을 것이다. 둘째, 특정 학과 연구자의 특허에 대한 기술이전이 활발히 이루어지고 있음을 확인하였다. 기관에서 연구자를 대상으로 관련한 프로그램을 기획 및 운영한다면, 적극적인 특허 기술의 발굴과 함께 보유 특허 맵 확장으로 전략적인 지식재산권 포트폴리오 구축 또한 가능할 것이다. 셋째, 대학의 특화 분야와관련 있는 정부 지원사업의 연구과제 성과물로 도출된 기술의 이전이 활발함을 확인하였다. 정부 지원사업을 통하여, 고도화된 특허를 창출해낸다면 기술이전의 효과성을 개선할 수 있을 것이다. 넷째, 기술이 융․복합되는추세에 따라 연구자 간 협업에서도 그 경계가 소멸되고 있음과 동일 발명자의 특허 기술이 같은 기업으로 이전되었음을 확인하였다. 이는 대학이 전략적인 특허 포트폴리오 맵 구축을 통해 기술이전의 새로운 돌파구를 찾을 수있음을 시사한다. 본 연구는 실질적인 사례 분석과 더불어 전통 통계 분석 방법과 달리 관계성에 주목하는 네트워크 분석을 통해데이터 그 자체로 표현하기 어려운 이면의 연결 구조와 관계성을 파악해 대학의 기술이전․사업화 활성화 방안에대한 새로운 방안을 찾고자 하였음에 의의가 있다고 할 수 있다.This study tried to find a way to activate technology transfer that meets the demand through network analysis and correlation of patents with a focus on university technology transfer cases, and to suggest a standard process. By collecting transferred patent data, network analysis was performed between patent IPC, inventor affiliation, and support projects, while family patents and citations were used to analyze the market power and influence of patents. The study results are as follows. First, the transfer demand for convergence technology centered on biotechnology, which is the specialized field of the institution, was identified. If convergence technology is actively created, it will lead to activation of technology transfer. Second, it was confirmed that technology transfer for patents by researchers from a small number of departments was actively carried out. If a related technology transfer program is operated for researchers in the relevant department, efficient patent technology transfer will be possible. Third, it was confirmed that the transfer of technology derived from research project outcomes of government-supported projects was active. The effectiveness of technology transfer can be improved by utilizing government-funded projects. It can be said that the connection structure and relationship of transferred technologies were identified through SNA analysis using real cases, and it was meaningful in that it tried to find a new standard process for technology transfer in universities.
IMPROVING THE SPEAKING SKILL OF TENTH–GRADE STUDENTS MAJORING IN FASHION THROUGH PODCAST MEDIA AT SMK N 8 SURABAYA

This research aims to find out the student’s improvement in speaking skills after implementing podcast media in the teaching and learning process. The subject of the research was the tenth-grade students majoring in fashion 2 at SMK Negeri 8 Surabaya in academic 2021 / 2022. Which consisted of 33 students. The method used in this research was Classroom Action Research (CAR) conducted in 2 cycles. Each cycle follows four phases: planning, acting, observing, and reflecting. however, there are different treatment was given in the second cycle. There were two ways of collecting the data were obtained from observation sheet field notes and speaking tests. Based on the data showed significant improvement in their speaking performance after the second cycle was conducted. The target score (KKM) of SMK Negeri 8 Surabaya for English lessons is 70. The result of the research showed that in the pre-cycle only 7 students or 21% of students reached the minimum standard score. In cycle I, 14 students or 42% of students reached the minimum standard score, and in cycle II there were 30 students or 90% of students in X Fashion 2 that could pass the standard minimum score. It could be concluded that the students speaking skills could be improved by using podcasts in teaching and learning speaking.
Digital Fitness Ecosystem

The sport fitness ecosystem has grown tremendously in recent years with the advancement of wearables, equipment, hardware, and software that supports physical activity and health. This ecosystem not only enhances the user experience but also provides feedback loops through behavior and performance data and provides opportunities to connect to a community of users that can maintain positive health and fitness behavior. In this chapter, we outline and define the ecosystem, discuss how these areas enhance connectivity and provide direction for future research.