Reviewerly/exHarmony huggingface dataset:
Underwater Image Enhancement Using Image Processing

The field of underwater image processing has evolved to become more thought about subject in recent decades, and it has made significant progress. In this study, we look at some of the most modern underwater approaches that have been created specifically for the environment. These strategies can improve image contrast and resolution while also expanding the range of underwater imaging. We focus on the numerous methodologies available in the literature after discussing the basic physics of wave scattering in the water medium. The circumstances under which they were created, as well as the quality evaluation procedures that were utilised to measure their performance, are highlighted. The HWD transform is then used to sharpen the picture. A highpass filter is used to eliminate the low-frequency background. Image histograms are mapped based on the intermediate colour channel to narrow the gap between the inferior and dominant colour channels. Wavelet fusion and an adaptive local histogram definition technique are utilised after that. It presents an improved underwater picture improvement system based on an image reconstruction method that can accurately restore underwater photos. The given approach takes a single image as input and performs a series of operations on it, including gamma evaluations, white balancing, sharpening. To produce the desired output, multiscale picture fusion of the inputs is performed. The colour imprecise input image is white balanced in the first stage to remove colour casts and retain a realistic undersea image. The output photographs from the proposed approach might then be used for detection and identification to extract more useful data.
F360: Fitness 360° Outdoor

Ageing does not necessarily have to be synonymous with loneliness. However, the risk of social isolation increases with age. Looking for new interests, social opportunities in which to make new friendships, helps to get out of this context, and feel alive. Enormous progress has been made in increasing life expectancy and reducing some of the most common causes of death. Many of these causes are related to a rapid decay not only physical, but especially psychological, especially with advancing age and the onset of diseases due to lack of an adequate lifestyle in nutrition and physical activity. The contribution aims to promote a better understanding of how motor activity in the open air can aim at maintaining an active life and slow down cognitive decline. The goal is to create an industrial product that can encourage the adoption of an active lifestyle, through the use of devices, technologically advanced, but inclusive, simple and accessible in their use to support the movement and health of older people. The activities that can be carried out, transformed into a form of play, will lead to a greater commitment to exercise, stimulating healthy competition, more than towards others, towards oneself to measure the progress achieved by playful activity. Biofeedback will allow, through the collection of objectives, results and intuitive graphics, to obtain a rapid response of progress in real time.
What Does it Mean for Cognitive Function to be Innate?

The article is devoted to answering the question “what is innateness in regard to cognitive functions?” To answer this question, we decided to formulate the most plausible definition of “innate”. This aim can be reached by adopting S. Has­langer’s amelioration and/or R. Carnap’s explication as a definition-forming technique. This strategy of defining presupposes the certain criteria for a good definition: 1) a definition has to meet the set of requirements (consistency, prac­ticality, etc.); 2) a definition has to be appropriate for the set of picked areas of knowledge; 3) a definition has to be applicable for the set of picked tasks. First, we described the relevant areas of knowledge and tasks for “innate”. Then, we examined the poverty of the stimulus approach to the problem of innateness on whether the definitions that we can deduce from it meet the mentioned criteria. As we found out, the definition of “innate” that was deduced from the poverty of the stimulus approach meets these criteria. Hence, we can conclude that this def­inition of “innate” can be efficiently used for solving scientific and philosophical problems concerning innate cognitive functions. Finally, we answered to some possible criticisms.
Comparing Middle-Aged and Seniors’ Preferences Toward Virtual Agents and Android Robots: Is There a Generational Shift in Assistive Technologies’ Preferences?

The present research aims at investigating effects of participants’ age (middle-aged and seniors) and type of assistive device (female virtual agents vs female android robots) on users’ acceptance. The study involved 4 groups of two middle-aged and two seniors (for a total of 181) participants asked to ex- press their potential acceptance to be assisted in their daily routines by two female android robots/virtual agents. Acceptance was assessed in terms of scores assigned by participants to their willingness to interact with the female agents/robots and pragmatic (PQ), hedonic - identity (HQI), hedonic - feeling (HQF) and attractiveness (ATT) qualities. Video clips of the proposed agents or robots were randomly presented, and after each presentation, participants scored the proposed assistive device by filling either the VAAQ (Virtual Agent Acceptance) or the RAQ (Robot Acceptance) questionnaire. Repeated measures ANOVA were utilized to statistically assess participants’ preferences. Seniors were significantly more open to interact with virtual agents rather than robots, while middle-aged participants were showed slightly more open to interact with robots rather than agents. Participants’ gender significantly affected the evaluation of robots rather than agents’ one, and the appearance of the proposed de- vices (younger toward mature agents, or haired toward hairless robots), strongly affected users’ acceptance.
Tren Teknologi Artificial Intelligence Pengganti Model Iklan Di Masa Depan

The use of technology is increasing rapidly as the times progress and the benefits and influences produced. New digital technologies have dramatically changed the way companies interact with consumers. The development of technology that is developing rapidly today is Artificial Intelligence or AI. Artificial Intelligence is a technology developed for a long time by experts. This technology is made similar to human intelligence so it is often called artificial intelligence. The development of Artificial Intelligence is very rapid growth in the field of media and information. Recently, there began to be a development using the Artificial Intelligence model to be used as an advertising model. This advertising model was enthusiastically welcomed by the public, but artificial intelligence technology can have cultural impact and influence by bringing new globalization. For now some topics can be applied widely to the development of Artificial Intelligence in lieu of advertising models and can be proposed for future research. In the future, the development of the Artificial Intelligence model is considered to eliminate artists who have been in the world of advertising for a long time because by using the human Artificial Intelligence model more freely in regulating the model and considered more practical. Seeing the rapid growth of technology the use of Artificial Intelligence is predicted to replace human jobs in the world of the information media industry. Actually, this has a good positive impact on the industrial world because it can make production performance in the field more quickly resolved but there will be many humans who are difficult to find work because it is replaced by Artificial Intelligence technology.
A Study on the the Expression Items of ≪Reading Joseoneo≫ Textbooks for Students of Joseoneo as a Foreign Language in North Korea: Publications from Kim Hyong Jik University of Education

Objectives The purpose of this study is to analyze the expression items in the textbook of ≪Reading Joseoneo≫ for foreigners at Kim Hyung Jik University of Education in North Korea.&#x0D; Methods In Chapter 2, 2.1 of the second chapter, we looked at the list of expression items for the appearance of textbooks, and in 2.2, we tried to analyze the expression items presented in the textbook of ≪Reading Joseoneo≫ by dividing them into ‘language unit dimension, form dimension, and meaning dimension’.&#x0D; Results As a result, it was confirmed that much more expression items were presented in ≪Reading Joseoneo 3≫ (2016) than in ≪Reading Joseoneo 3≫ (2013). In 2.2, the analysis was conducted by dividing the expression items presented in the textbook of ≪Reading Joseoneo≫ into 1) language unit dimension, 2) form dimension, and 3) meaning dimension.&#x0D; Conclusions Through the above analysis, we were able to confirm the actual condition of the expression items presented in the high-level textbooks of Kim Hyung Jik University of Education, ≪Reading Joseoneo 3≫ (2013) and ≪Reading Joseoneo 3≫(2016). However, it is necessary to discuss in detail how expression items in North Korean language education for foreigners are actually taught and learned by international students.
A study on the improvement plan for the college education of language and literature majors

Objectives The purpose of this study is to study the improvement plan for the college education of language and literature majors. In this study, students' experiences of the college education of language and literature majors were analyzed and based on this, the improvement point for the college education of language and literature majors was derived.&#x0D; Methods In this study, data were collected and analyzed by writing a reflection journal and in-depth interview with 10 students enrolled in the language and literature majors of college A. In this study, students' experiences of the college education of language and literature were analyzed from the perspectives of traditional humanities, academic humanities and practical humanities. In this process, the humanities education type (Hong Eun-suk, 2017) was used as a conceptual framework.&#x0D; Results First, students' experiences of the college education of language and literature were improvement of language ability, employment, transfer in the context of learning motivation, an autonomous curriculum, major-linked curriculum, career-linked curriculum in the context of curriculum, classes appropriate to the learner’s level, students’ participation classes, classes that have established an learning environment in the context of class, the professor’s guidance on learning, the professor’s interest and advice in the context of the role of the instructor, favorable location of college, management of environmental facilities in the context of educational infrastructure, and the need for learning, setting of specific career directions in the context of educational performance. Second, the improvement point for the college education of language and literature majors include setting educational goals for nurturing professionals based on language and literature ability, organizing a curriculum that connects language and literature knowledge and vocational knowledge, operating classes that produce the knowledge required as a professional, professor’s role as a mentor helping learners to become professionals, and educational infrastructure for establishing a system of connection with the local community.&#x0D; Conclusions Based on the results of this study, suggestions for the improvement plan for the college education of language and literature majors were found to be establishment of the identity, strengthen the specialization, and specialization, and establish policies.
A Case Study on the Actual Condition and Perception of University Students' Participation in Comparative Programs

Objectives This study analyzes the results of a survey on the participation and perception of college students in the extra-curricular education program, Based on this, this is a case study conducted with the purpose of exploring ways to more systematize non-curricular education.&#x0D; Methods D University established six objectives for non-disciplinary education: ‘Learning competency support, psychological counseling support, career support, employment support, start-up support, and internationalization support.’ There are 21 types and 55 detailed types at the bottom, and Co-Curriculum classes linking the subject and comparative departments are being activated. The reasons for participation and non-participation in comparative programs, participation effects, perception of comparative programs, perception of classes linked to subjects and comparative subjects, and perception of comparative support policies were analyzed.&#x0D; Results The overwhelming majority of students who responded that they participated in the extra-curricular program for the first time in the first year, The detailed types of the programs in which they participated and the programs they wish to participate in differed by grade level. They showed a positive attitude toward core competency development, college life adaptation, and classes that link subjects and non-subjects. As the contents of the extra-curricular activities support policy, various opinions were presented, such as securing various extra-curricular activities, strengthening professionalism, and adopting an operating method that reflects the characteristics of the program.&#x0D; Conclusions The classification of program guidance by grade, overcoming the gap between the programs you are participating in and the programs you want to participate in, and finding various cases for linked classes should be promoted. In addition, continuous investigation of the operation status, performance, perception and demand of non-subject education programs, policy outcome analysis, member sharing, and policyization of results should be conducted in the long term and regularly. All education, including comparative education, cannot achieve the desired results without long-term prospects, investments, and efforts.
A study on the relationship between inferential understanding and reading ability of elementary school students

Objectives This study was conducted to examine the relationship between elementary school students' reasoning understanding and reading ability.&#x0D; Methods Specifically, 235 students from the third to sixth grades of elementary school participated. The inference understanding test was divided into bridge inference and elaboration inference areas, and consisted of a total of 30 questions. Reading activities and reading attitude tests were organized based on previous studies.&#x0D; Results First, it was found that the reasoning understanding of middle and high grades in elementary school increased as the grade increased, but in the case of reading activities, it decreased as the grade increased. Second, as a result of analyzing reading activities and reading attitude variables that affect the reasoning ability of middle school students in elementary school, only reading motivation variables were found to be statistically significant. And in the case of senior students, only the reading immersion variable was found to be statistically significant.&#x0D; Conclusions The reading immersion variable was found to be a significant variable even in the higher grades than in the middle school. Therefore, in future studies, it is necessary to conduct an elaborate study on the relationship between the factors affecting reading immersion and reading achievement as the effect of reading immersion.
Research Trends and Meta-analysis on Character of Childcare Teachers

Objectives The purpose of this study is to investigate the research tends of papers related to the childcare teachers’ character and to analyze the effect sizes of character-related variables through meta-analysis.&#x0D; Methods Meta-analysis was conducted to confirm the effect size of 48 variables after extracting 31 dissertations and journals related to the character of childcare teachers published in Korea. After extracting analyzing papers through a systematic literature review, meta-analysis was conducted using the CMA program.&#x0D; Results First, the publishing type of research related to the character of childcare teachers had a similar ratio to academic journals and degree papers and showed a tendency to increase starting in 2013. Variables related to the character of childcare teachers were classified into positive teaching work, negative teaching work, and psychological factors. Second, the effect size of the character-related variables of childcare teachers was large in terms of a psychological factor, a positive teaching work factor, and a negative teaching work factor. There was no difference in effect size between the sub-factors of positive teaching work, but there was a difference in effect size between the sub-factors of negative teaching work and psychological factors. The effect size of a positive teaching work factor was in the order of child rights, job satisfaction, teacher-child interaction, and teacher efficacy. The effect size of a negative teaching work factor was in the order of child abuse potential, exhaustion, stress, and coping. In addition, in terms of a psychological factor, the effect size of teacher psychology was large.&#x0D; Conclusions It was found that variables related to the character of childcare teachers conducted in Korea showed significant effects in psychological and positive teaching work factors. The direction of the research and teacher program for the character of childcare teachers was discussed based on the results.
Eagle: a complex event processing system

In recent years, based on application data stream of rapid development, in addition to simple data stream management system (DSMS), complex event processing system (CEP) has been gaining popularity. In this paper, aiming at the application requirements of complex event query and the characteristics of event flow, combined with the characteristics of the Argus system, a complex event processing system prototype Eagle is built. Eagle uses query plan-based approach to detect complex events, uses event graphs to construct event sequences and uses the equivalent node that executes the filter operator as early as possible and shares the event graph for optimization. The sequence of events is extracted as a filter condition, so that many nodes can be shared, which greatly reduces the number of nodes in the event graph. Our experiments show that the optimization strategy improves the performance of the system to a large extent.
What do We Mean by Motivation?

As we know by now, personality and intelligence are largely fixed. The two other components of the Leadership Blueprint, learning agility and motivation, both located in the Growth Dimension in the framework, require people to supply these qualities themselves. We don't control other people's level of motivation; they do. This chapter covers what it means to be motivated, why it's important, and what to look for in assessing motivation in others. It includes an overview of intrinsic and extrinsic motivation and a discussion of whose job it isn't to motivate employees. The punchline of this chapter is there is great power and tremendous return when you hire people who bring their own engines that propel them.
Large-scale data privacy-preserving method based on data perturbation

Internet of things (IoT) uses perception technology and intelligent equipment to perceive and identify the physical world, interconnect through network transmission, and perform calculation, processing and knowledge mining. Millions of IoT devices are connected to IoT, generating a large amount of data, and the application of data mining technology is gradually deepening. Meanwhile, the privacy protection aspect in IoT environment has become one of the hot issues. In this paper, by describing the characteristics and privacy threats of IoT large-scale data, analyzing the shortcomings of existing data mining privacy protection methods, we propose a data perturbation privacy protection method based on Gaussian mixture model. The method generates and discloses a set of new data with independent and same distribution as the original data to perturb the original data, which not only effectively protects the privacy of the original data, but also maintains the statistical characteristics and has similar accuracy to the mining model generated on the original data.
Deep Learning Era for Computer Vision-Based Eye Gaze Tracking: An Intensive Model

The active theme for exploration is currently the potential for visual gaze tracking and visual human–machine interactions in contemporary user devices. Eye views were used as an input tool to extract human behavioral knowledge and to achieve immersive user interactions in augmented and amplified reality systems. However, implementations of gaze on consumer devices operating under controlled circumstances face tough precision and reliability challenges. For evolving automotive electronic systems such as driver surveillance systems and new touch screens, accurate and successful gaze estimates are significant. Such systems have to work efficiently and at minimum cost in demanding unregulated, low-power conditions. Deep learning is omnipresent for most computer vision tasks, but it is still common to estimate the eye gaze. The realistic account of all challenges and opportunities of eye gaze tracking requires a complete study of available deep learning methods. In this chapter, huge potential efforts are made to study the background of eye gaze tracking with the detail of how deep learning made a contribution to computer vision-based tracking. In the end, this chapter also highlights a generic system model and comparison of various algorithms for deep learning-driven eye gaze direction diagnosis.
One Company, One Culture—Citizens’ Consolidated Planning Approach to Maintain Pipeline Integrity

One of the top challenges of today’s pipeline industry is maintaining pipeline integrity with aging infrastructure and budgetary constraints. Effective planning is essential to optimize financial resources and maintain pipeline integrity. Citizens Energy Group provides natural gas, steam, chilled water, water, and wastewater services to about 800,000 people and thousands of businesses in the Indianapolis area. To achieve Citizens’ mission, it is critical to Citizens to provide safe, reliable services while maintaining the lowest possible rates by maintaining pipeline integrity. Historically, the capital planning processes for each business unit differed on their approaches to terminology, schedules, cost estimating, content, planning horizon, prioritization, and project selection. In addition, the planning methodology for each business unit used different terminology, formats, and strengths. In 2019, Citizens embarked on an initiative to consolidate the planning under one trust-wide approach and format. This resulted in a consolidated approach to resource management and equipped leaders with information to make future business decisions in a centralized location while optimizing financial resources. Benefits include more thorough documentation of short- and long-term capital needs, enhanced coordination and collaboration between groups, transparency and knowledge management, and project planning memos and metrics for cost and schedule adherence. The consolidated planning supported identification of best practices and opportunities for improvement. This presentation will describe the new consolidated planning process and how it supports maintaining pipeline integrity.