Reviewerly/exHarmony huggingface dataset:
LS-PON: A Prediction-Based Local Search for Neural Architecture Search

Neural architecture search (NAS) is a subdomain of AutoML that consists of automating the design of neural networks. NAS has become a hot topic in the last few years. As a result, many methods are being developed in this area. Local search (LS), on the other hand, is a famous heuristic that has been around for many years. It is extensively used for optimization problems due to its simplicity and efficiency. LS has a lot of advantages in the world of NAS; it can naturally exploit methods that accelerate the global search time such as weight inheritance and network morphism. LS is also easy to implement and does not require a complex encoding or any parameter tuning. In the present work, we aim at making LS faster by guiding the exploration of the neighborhood. Our objective is to limit the number of solution evaluations, which are particularly time-consuming in NAS. We propose the method LS-PON (Local Search with a Predicted Order of Neighbors) that uses linear regression models to order the exploration of neighbors during the search. LS-PON, unlike other prediction-based NAS methods, requires neither pre-sampling nor tuning. Our experiments on popular NAS benchmarks show that LS-PON keeps the simplicity and advantages of LS while being as efficient in quality as state-of-the-art methods and can be more than twice as fast as classical LS.
VPN Traffic Identification Based on Tunneling Protocol Characteristics

Virtual Private Network (VPN) provides a secure, encrypted, and anonymous communication between remote networks. More and more people are inclined to use, with the raising network security and privacy protection awareness. However, VPNs are also widely abused by malicious pursuers, and thereby distinguishing VPN traffic for father judgment is of the utmost importance for network supervision. In this paper, we focus on the characteristics of VPN tunneling protocols, and then extract four categories of traffic features, including two novel entropy features, for VPN traffic identification. Feature evaluation upon real-world VPN traffic demonstrates, that all these features can notably embody differences between VPN and Non-VPN traffic, and the entropy features work still well even when applications traffic is mixed. Finally, the proposed VPN traffic identification method achieves the accuracy of 99.02% and 95.32% respectively on self-gathered and public VPN datasets, remarkably higher than the existing research.
Pandemic Management Using Internet of Things and Big Data – A Security and Privacy Perspective

Pandemic management via technologies like Internet of Things, artificial intelligence, 5G, Blockchain have made huge impact across the world in these difficult times. The current pandemic situation has given rise to many behavioral and socio-economical changes in our society. This has also given rise to the use of technologies like Internet of Things, artificial intelligence to solve the real-world problems of COVID-19 pandemic. This chapter discusses the security and privacy issues of using IoT for pandemic management especially the security and privacy challenges of contact tracing using IoT and mobile phones. Identifying the infected individuals and those who have been in contact with the infected individual has become a major concern among the government organizations and is termed as “Contact tracing”. This process of contact tracing prevents the community spreading of the disease. Many governments are trying to identify the infected individuals using contact tracing mobile applications that are equipped with GPS, Bluetooth or NFC devices. This chapter will discuss the security and privacy methodology followed in contact tracing IoT applications all around the world and discusses the privacy issues faced by the users of contact tracing IoT applications.
Sentiment Analysis of ASOS Product Reviews Using Machine Learning Algorithms by Comparing Several Models

Digital ratings are crucial in improving international customer communications and impacting consumer purchasing trends. To obtain important data from a massive number of customer reviews, they must be sorted into positive and negative opinions. Sentiment analysis is a computational method for extracting emotive information from a text. In this particular research, over 3000 reviews have been obtained from the ASOS website and classified into three different sentiments: excellent, average, and bad. The obtained reviews have been pre-processed, then feature extraction is applied to the pre-processed data to remove the redundant data. Finally, distinct machine learning algorithms will be utilized to build disparate models. This research is vital as it allows the ASOS organization to gain insight into how consumers perceive about specific issues and detect urgent issues such as delivery delays and misplaced packages in the current time period before the issue goes outof control. The key results of this research show that the Nu-Support Vector Classification model obtained the highest accuracy score of 85.99% and the lowest accuracy score of 51.47% was obtained for the AdaBoost classifier model.
Overall and Feature Level Sentiment Analysis of Amazon Product Reviews Using Machine Learning Techniques and Web-Based Chrome Plugin

One of the critical tasks of Natural Language Processing (NLP) is sentiment analysis or opinion mining. Sentiment analysis has gained much attention in recent years. It collects data on each user’s views, feelings, and opinions regarding a particular product to determine whether they have a positive, neutral, or negative attitude toward it. This study aims to address the categorising sentiment polarity, which is one of the essential issues in sentiment analysis and with extensive process descriptions. The key contribution of this study is to introduce feature-wise sentiment analysis for online products considering the customer reviews and star ratings using the modified web-based chrome plugin. Finally, we share some insight into our future sentiment analysis efforts. The research was based on the categorisation of sentiment polarity in online product reviews from Amazon.com
The role of self-regulate learning and self-efficacy on learning motivation in students at SMPN X

The role of information technology has become very important in the era of globalization and modernization, especially in various fields, such as the field of education. The online learning process is one whose performance is greatly influenced by the ability of teachers to use technology to provide learning materials. The presence of e-learning in Indonesia can have an influence on student learning motivation. One of them is the impact on his learning attitude. The purpose of this study was to determine the influence of self-regulated learning, self-efficacy on student learning motivation at SMPN X. Samples totaling 220 students were taken using non-probability sampling &nbsp;techniques in the form of simple random sampling. &nbsp;The data collection method uses a learning motivation scale of α value = 0.735, a self-regulated learning &nbsp;scale of α value = 0.744 and a self-efficacy &nbsp;scale of α value = 0.739. The analysis used is multiple linear regression analysis. The results of this study show that there is a positive influence with t count &gt; t table of 1,945 on self-regulated learning on learning motivation which means that the higher the self-regulated learning , the higher the motivation to learn, self-efficacy has a positive effect with sig.( p)= 0.021 (sig. &lt;0.050) on learning motivation which means that the higher the self-efficacy , the higher the motivation to learn, then self-regulated learning and self-efficacy simultaneously have a positive effect with sig.( p)= 0.001 (sig. &lt;0.050) to learning motivation which means that the higher the self-regulated learning and self-efficacy , the higher the motivation to learn in students. The coefficient of determination known to Rsquare is 0.044 which means that the variables self-regulated learning and self-efficacy together affect learning motivation by 4.4% and are influenced by other variables by 95.6%. Keywords: learning motivation,&nbsp; self regulated learning, self efficacy.
Recommender Systems and their Application in Recommending Research Papers

Recommendation systems are widely used today by online stores andvarious other leading sites, like Facebook, Instagram and LinkedIn, for providingsuggestions to the users. The recommendation process helps the users to find the itemsthat they may be interested in. Also, it is beneficial for the company to improve itsoverall profit. Recommendation engines use collaborative filtering technique orcontent-based approach to acquaint the users with such items. As these engines are sobeneficial for users as well as for the trading websites, they have already been appliedto a large number of fields, such as medical, education, tourism, finance, marketing andbusiness; however, some areas are yet left unexplored. In this paper, we are presentingone such area where if recommendation engines are used, they can help a huge numberof researchers around the globe. We propose a recommendation system that can help anumber of scholars to get research papers based on the keyword entered by them, andthe user will set a similarity index. This value of similarity will help in getting a limitednumber of papers from a huge pool.
A Case Study on the Linkages between the Village Education Community and the Educational Welfare Project based on the Curriculum

Objectives This study attempted to find out the form of linkage between the two projects and teachers' perception of them in linking the village education community and educational welfare projects based on the curriculum in unit schools.&#x0D; Methods The purposes of this study, data on the village education community and educational welfare projects of ○○ Elementary School in Gwangju Metropolitan City were collected. In addition, one-on-one in-depth interviews were conducted with seven teachers. The collected interview contents were categorized through open coding, categorization, and category confirmation process. In order to secure its validity and reliability, the Participant Identification Act was implemented.&#x0D; Results The link between the village education community and the educational welfare priority support project was systematic with the detailedness of village resource exploration and curriculum analysis and continuous operation of the consultative body. The two were complementary in their use of the budget. The interviews were categorized into five categories. These are “expanding awareness of the operating form of education welfare priority support projects,” “synergy effect of linking village schools with education welfare projects,” “recognition of the importance of village education communities,” “effectiveness of curriculum linkage,” and “difficulty in realizing village education communities,” and “The value of a project class that combines reality”.&#x0D; Conclusions Teachers think positively of the educational effect on the connection between the village education community and the educational welfare priority support project. However, I thought that linking the two projects was difficult in terms of the work of the teacher in charge of it, especially in establishing a network and securing/exchanging village resources. In order to improve this, it was suggested that there should be an increase in autonomy suitable for the unit school situation and a system to support it.
The Effects of Emotional Expression Activities Using Picture Books on Young Children’s Emotional Intelligence and Empathic Ability

Objectives The purpose of this study is to investigate the effects of emotional expression activities using picture books on young children’s emotional intelligence and empathic ability.&#x0D; Methods The subjects of this study were 24 young children (12 experiment group in Root class and 12 control group in Sprout class) for three-year-olds in G kindergarten located in T city, Gyeongsangnam-do. The experiments was done 16 sessions during an 8 week period on the experiment group emotional expression activities using picture books and on the control group did activites focusing on picture books. The pre- and post-test were conducted using the test tools for intelligence and empathic ability was based on Independent samples t-test and Mann Whitney U test as non-parametric test using the SPSS 25.0 program.&#x0D; Results First, emotional expression activities using picture books had the positive effect on the intelligence in terms of four sub-elements of intelligence: self-recognition and expression ability, self-adjusting ability, ability to recognize others and ability to adjust others. Second, emotional expression activities using picture books had the positive effect on the empathic ability in terms of three sub-elements of empathic ability: cognitive empathy, emotional empathy, and social skill.&#x0D; Conclusions Emotional expression activites using several picture books to express young children’s thoughts, feelings, and emotions through various plays such as art, body, language are the effecitve teaching-learning methods. It has positive influences to promote young children’s emotional intelligence and empathic ability.
A qualitative case study for exploring the meaning of learning in youth social activities: Focusing on the three-dimensional model of experiential learning

Objectives This study was conducted for the purpose of in-depth exploration of the meaning of learning derived from the process of youth forming groups voluntarily and experiencing social activities based on the three-dimensional model of experiential learning.&#x0D; Methods This study was conducted as a qualitative case study method. First, through the literature review, the researchers' initial problem consciousness, the main point and problem of research were drawn. Second, in order to collect qualitative data, in-depth interviews were conducted after selecting 6 research participants through intentional sampling among young people who had been social active for more than 5 years. The average active years of the study participants was 6 years and 8 months, and their average age was 26 years. Third, qualitative data analysis was conducted through constant comparison method, and in the categorized process, the words and phrase used by study participants were utilized. Finally, to get the validity and reliability of the research results, triangulation, researchers’ check and peer-review were performed.&#x0D; Results First, the content dimension consisted of six categories related to knowledge, understanding, and function, and derived the meaning of learning that youth found opportunities to understand themselves in accidental situations by participating in social activities. Second, the incentive dimension consisted of six categories of motivation, will, and emotion, and it was derived as a meaning of learning that youth actively explored new methods to maintain balance between their minds and bodies. Third, the social dimension consisted of five categories related to behavior, dialogue, and cooperation, and was derived as a meaning of learning that an individual's worldview was expanded through interactions between various resources related to youth.&#x0D; Conclusions The suggestion for the above research results was that first, it should be viewed as a research object and learner that could characterize youth in various ways. Second, learner participation should be discussed from a broad perspective that encompasses how to help learners utilize knowledge in connection with outside of the educational system. Third, educational institutions should seek an open learning ecosystem that considers not only the area of education and learning, but also the daily life of individuals. Fourth, educational support should be provided considering that the current youth requires an experience suitable for themselves.
A Study on Daily Experiences of Daycare Centers Changed by COVID-19

Objectives The purpose of this study is to propose a changed educational experience and support direction while examining the daily experiences of daycare centers that have been changed due to COVID-19.&#x0D; Methods A daycare center located in Incheon selected 7 childcare teachers who had educational experience during the COVID-19 period. Data collection was conducted through focus group interviews from November 3, 2021 to November 17, 2021, and was transcribed after data collection for interpretation, coding, and classification according to the qualitative data analysis procedure to prevent omission of content. The researcher read the transcript of the interview repeatedly, marked the content related to the subject of this study, and then coded the content by type to categorize it. The analysis of the process for extracting theoretical samples of the transcribed contents was analyzed in the order of open coding, axis coding, and selective coding.&#x0D; Results As a result of the study, the daily experiences of daycare centers that have been changed by COVID-19 are ‘heavy work due to quarantine’, ‘operation of educational sites according to heightened distancing’, ‘practicing precautions against infectious diseases’, ‘increase and restriction of personal work in Corona 19 situation’, ‘Changed difficulties and stress felt at daycare’, ‘Invasion of privacy of teachers’, ‘Corona prolonged’, ‘Parent-teacher difficulties’, ‘Stress relief activities by minimizing outside activities’ ‘Educational direction before and after Corona’, ‘Changes in the classroom’, ‘Educational direction of language development delay due to wearing a mask’ ‘Realistic support due to restrictions on outdoor activities’, ‘Realistic support at the level of the Ministry of Health and Welfare’, ‘Improvement of educational methods’, ‘Educational support necessary for daycare centers’, and ‘Education essential for with Corona’.&#x0D; Conclusions Through this study, it is expected that it will be helpful in providing effective support to the educational field by examining the daily experiences of daycare centers that have been changed by COVID-19, the changed educational experience, and the demands for realistic support and educational support.
The Meaning of Pre-service Child Care Teachers' Experience with Infants and toddlers in Child Care Practice

Objectives This study aims to examine the characteristics of experience with infants and toddlers that pre-service teachers met during the course of childcare practice and to examine the meaning of the experience. Based on this, we will provide basic data for pre-service teachers to be more efficient and valuable practice time.&#x0D; Methods For this purpose, 13 pre-service teachers attending the early childhood education department wrote reflective journals based on their experiences after the early childhood education and analyzed them.&#x0D; Results As a result, the experience with infants and young children that the pre-service teachers met in the nursery training showed characteristics such as difficulty to approach, confused me, and notice. The meaning of the experience with infants and young children, which can be seen in the process of forming the relationship with infants and young children, was revealed to reflect, feel close, and learn themselves in the process of forming a new relationship.&#x0D; Conclusions The results of this study are expected to be used to understand the experience of pre-service teachers with infants and to find a more desirable ‘teacher’ method in the course of practice. Therefore, this study will give implications for childcare teacher education for pre-service teachers.
The Influence that The Integration Lectures of Poetry and Video affect the Student's Ability to Media Literacy when College and High schools are connected

Objectives The purpose of this study was to determine whether the university's available resources contribute to improving the quality of education in the local community. For this study, the students' perception of the class integrating poetry and video was investigated, and it was also attempted to confirm whether the students' media literacy competency was cultivated through the class.&#x0D; Methods From October to the end of November 2020, a class that integrated poetry and video was conducted for general high school students, and two surveys were conducted before and after class. The contents of the questionnaire are about students' perception of the class that integrates poetry and video and the cultivation of students' media literacy competency. The respondents were 288 male students.&#x0D; Results First, students answered that they watched “more than 1 hour to less than 2 hours” of media a day the most. In addition, only about 33% of the students answered that they had participated in a media literacy class. The most common response was ‘middle school’ when they first encountered media literacy education. The students answered that they had encountered media literacy education in the subjects such as Korean, mathematics, technology/home, and art. In addition, students answered that they were generally satisfied with the class time and content. And students recognized that media literacy education was necessary after class rather than before class. Second, as a result of analyzing whether the students' media literacy competency was cultivated, it was confirmed that there was a statistically significant improvement in all areas of ‘understanding, creation⋅expression, value⋅attitude’.&#x0D; Conclusions First, educational activities that actually contribute to the social participation and communication of students in media literacy classes are required. Second, a long-term plan and support are needed so that the high school and college-linked curriculum using resources available in the community can be operated stably.
Increasing Performance of Boolean Retrieval Model by Data Parallelism Technique

Information retrieval (IR) is to identify documents of non-uniform behaviorthat fulfill information requirements from the huge repository (maintained in computersystems). Different models have been defined to retrieve/fetch information. Forexample, the Boolean model, the Statistical model, which focuses on the vector spaceand probabilistic retrieval, and the Linguistic and Knowledge-based retrieval models.The Boolean model is defined as the “perfect match” model. If the queries are notaccurate, they retrieve/fetch some irrelevant documents. This is called the precision (p)rate, which is the proportion of the relevant retrieved documents. The Boolean methodprovides good techniques to elaborate or concise a query. The Boolean method workswell for the search process because of the clarity between the concepts. The Booleanretrieval model processes the queries in which terms of the queries are in the form ofBoolean expressions, that is, in which terms of the user query combined with AND(&amp;amp;),OR(||), and NOT(!) operators. The model views documents in the form of invertedindexes. The key concept of an inverted index is to maintain a dictionary of terms. Forevery term, there is a collection of documents in which the term occurs. Posting is acollection of documents in which a term occurs. The list is known as the postings list(or inverted list), and all the postings lists are collectively called postings. But as the number of documents is increased, the postings of documents are alsoincreased, and processing these documents becomes time-consuming; so to resolve thisproblem, a multithreaded model is proposed in which the postings list is broken downinto different chunks and processes, due to which Boolean operation between postingsin accordance with Boolean query becomes faster. Using this data parallelismtechnique, the performance of the Boolean Retrieval Model is increased.