Reviewerly/exHarmony huggingface dataset:
Digitalization on Cocurricular System

In this era of technology, digitalization offers new opportunities and benefitswhen create new products and services. Compared to 20th centuries, the world right now changing from traditional method to digital technology. Various tasks can be ease by using digital technology such as computer, applications, internet, handphone and many more. With this technology, people can do their work from anywhere, anytime, quicker, efficient and save cost. Nowadays, there are a lot of software and applications that exist in the internet that can use to solve various problems. This project is about using a newest and advance application in the internet for helping an organization that still using traditional method for filling system.
‘응결성 장치’를 활용한 한국어능력시험(TOPIK)II 쓰기 답안 작성 분석

This study specifically analyzed the ‘cohesion devices’ characteristics of the overall problems types in the intermediate and advanced writing areas for the TOPIKⅡ where the most greatest change occurs after the change of the test system that is recognized by the efforts to reform the authority and evaluation of the Korean language proficiency test system. This study was based on the foundation of the related prior research and the standards of the writing evaluation system especially by approaching the analysis background of the theories of ‘cohesion devices’ and ‘text categories and text functions’ in text linguistics. We analyzed and presented the types of ‘cohesion devices’ can be used and applied in answering the actual questions types of the three types of questions in the TOPIK writing area, focusing on the characteristics of ‘Completing the Sentence’, ‘Paragraph Writing’, and ‘Writing Composition’. Using the research results analyzed in this study, we hope that it could be benefit for the foreigner learners who challenge the writing field, so well as to provide basic materials for learning Korean that can be used in the educational field.
Announcing the new Member API

When we launched the new version of the OAI-PMH service in November (Hallett (2019)), and retired Solr (used by the old OAI-PMH service) in December, we completed the transition to Elasticsearch as our search index, and the REST API as our main API.
Using a sentiment analysis for the examination of tourism blogs – a step by step methodological reflection process

Abstract The article at hand is driven by a methodological interest in the opportunities and challenges of applying an automated text mining approach, particularly a sentiment analysis on various tourism blogs at the same time. The study aims to answer the question to what extent advanced computational methods can improve the data acquisition and analysis of unstructured data sets stemming from various blogs and forums. Furthermore, the authors intend to explore to what extent the sentiment analysis is able to objectify the qualitative results identified by an earlier analysis by the authors using content analysis done by thematic coding. For the purpose of the specific tourism research question in this paper a new approach is proposed, which consists of a combination of sentiment analyses, supervised learning, and dimensionality reduction in order to identify terms that strongly load on specific emotions. The contribution indicates on the one hand, that advanced computational methods have their own specific constraints, but on the other hand, are able to provide a richer and deeper analysis following a quantitative approach. Several issues have to be taken into account, such as data protection constraints, the need for data cleaning, such as word stemming, dimension reduction, such as removal of custom stop words, and the development of descent ontologies. On the other hand, the quantitative method also provides, due to its standardised procedure, a less subjective insight in the given content, but is not less time consuming than traditional content analysis.
Modernization as Lifeline for Quality of Education: Evidence about E-Governance, M-Governance and Distance Education in Asia

As the rapid increase in technology has proved the advancement of mobile governance and giving easy access to students on their on-hand technologies, it improvises the quality of their education as well. Ten Asian countries i.e., China, Pakistan, India, Bangladesh, Indonesia, Iran, Turkey, Vietnam, Philippines, and Japan have been selected for the study. The data has been collected over a period of 27 years, which has been very much adequate to use the A.R.D. L technique. ADF unit root tests as well as cointegration tests are run to analyze the long-run relation. The quality has paved its path on the betterment of education. It implies there is a long-run relation of quality of education (QE), electronic governance (EG), mobile governance (MG), and distance education (DE) keeping the population growth (PG) and literacy rate (LR) in control for these countries as there has been modernization over these years.
Analyzing the Cyberspace Laws to Protect Data Privacy in Pakistan

[Purpose] Cyberspace technology has become an unavoidable forum for communications, connections, and transactions. This phenomenon, however, led to cybercrimes and hi-tech crimes such as data leaking, stealing, blackmailing, digital fraud, bullying and hacking, and all this has put the cyberspace technology at risk and a great threat to the security and privacy of the people. In Pakistan, cybercrimes are on the rise and despite several laws had been published on the topic, the rate of cybercrimes is increasing every passing year. In this context, this study examines the existing regulatory and legal framework for data protection in Pakistan and to find out the major challenges in the way of application and enforcement mechanism.[Methodology] The conceptual framework of the research answers the question on to what extent the existing laws and enforcement mechanism of Pakistan is effective in protecting the data and information in the cyberspace? It highlights the importance of cyberspace technology nowadays and addresses the global agenda to combat cybercrimes, analyzes the Pakistani laws on the protection of data and privacy in cyberspace, and identifies major challenges in the way of the enforcement mechanism. The study focuses on the cyberspace laws of Pakistan with reference to the cybercrimes from a national perspective.[Findings] This paper asserts that there is sufficient protection of cyberspace laws in Pakistan although they lack proper enforcement and are plagued with poor management.
Perancangan dan Pengembangan Vıdeo Katalog Produk Pada Toko Byzen

Byzen Store is a business that is engaged in selling kitchen items such as drinking bottles, food containers, jars, and other items with the majority of goods from the Tupperware brand which has been running for 10 years. The obstacle faced by Byzen Stores is the lack of creativity in doing promotions. Applied research methodology is the method used in this research with the aim of finding solutions to problems faced by society, or industrial and business organizations. The method used in designing this promotional is Media Production Concept (KPM) method which has 3 stages, namely Pre-Production, Production, and Post-Production. The tools are Adobe Photoshop CS6, Adobe Premiere Pro 2020, and Canva Pro. The results of this research are in the form of a promotional video containing photos of product from the Byzen Store. The implementation of the research resulted in many positive impacts where the owner of the Byzen Store felt an increase in sales and the Store became more known to the wider community.
Diseño de una red neuronal convolucional entrenada para la clasificación de cáncer epidermoide el cuerpo humano

In this research, different models of Convolutional Neural Networks were created, varying the filter parameters and times in order to improve learning about the different classes of the set of images. Likewise, the set of images was subdivided into training, test and validation images, the latter to verify the efficiency in the classification of the created model which presented an efficiency of 87.5% and which is close to the best found in the literature.
Mean Shift for Self-Supervised Learning

Most recent self-supervised learning (SSL) algorithms learn features by contrasting between instances of images or by clustering the images and then contrasting between the image clusters. We introduce a simple mean-shift algorithm that learns representations by grouping images together without contrasting between them or adopting much prior on the structure or number of the clusters. We simply “shift” the embedding of each image to be close to the “mean” of the neighbors of its augmentation. Since the closest neighbor is always another augmentation of the same image, our model will be identical to BYOL when using only one nearest neighbor instead of 5 used in our experiments. Our model achieves 72.4% on ImageNet linear evaluation with ResNet50 at 200 epochs outperforming BYOL. Also, our method outperforms the SOTA by a large margin when using weak augmentations only, facilitating adoption of SSL for other modalities.
Multimodal Interaction Using the Particle Swarm's Binary Optimization

Multimodal interfaces are a kind of intelligent multimedia system that supports human-machine interaction through different natural communication modes such as speech, writing, gestures, and gaze. Speech identification of gestures and facial expressions, sounds perception for localization purposes, lip movement, and analysis is some of the speech processing and computer vision technologies used to implement multimodal interaction. Finding the right set of structures is a difficult issue in the feature selection process, although metaheuristic processes are effective in finding the most optimal solution. Face identification is one of the most widely accepted biometrics in human visual interactions. The relationship between facial features may be complex, making the selection of features difficult. A feature selection method is proposed which is based on binary optimization of particle swarm (BPSO). Feature Selection (FS) is a common pre-processing approach that aim to expand the presentation of a learning algorithm by reducing processing time or both. A feature selection algorithm was suggested as an appropriate feature selection method for multimodal biometric systems. Which can reduce the dimension considerably by combining the multiple fusion system and choosing the finest features of them. The impact of multiple time variations in the update algorithm on the performance of BPSO in the management of functional selection problems is investigated in this work.
The Impact of Social Media on Intellectual Security at Students of Universities: an Applied Study on Jordanian Universities

Social media has been prevalently used, especially among students in Universities, leading to harmful behaviours in educational institutions. The current study has been focused on revealing the levels of social media use and intellectual security at students in Jordanian Universities, and investigating the impact of social media use on intellectual security. A descriptive approach was used to achieve the study aim and its related objectives. A self-reported questionnaire was used for collecting data from the study sample that consisted of (250) students who were selected randomly. The study has found that the use of social media and intellectual security in the study sample was found at a high level with the mean of (4.15±0.34) and (4.18±0.72) respectively. Also, the results revealed a significant and negative impact of social media use on the students’ intellectual security with (F= -357.106, P = 0.00 < 0.05).
Parameter Estimation Of Groundwater Virus Transport Using Deep Neural Network

The fields of machine learning (ML) and artificial intelligence (AI) are rapidly expanding, impacting nearly every technological aspect of society.Fluid flow in porous media is ubiquitous and the study of this field is rapidly advancing, driven by unprecedented volumes of data from field measurements, experiments, and largescale simulations at multiple spatiotemporal scales.ML/AI offers a wealth of techniques to extract information from data that could be translated into knowledge about the underlying phenomena.Moreover, machine learning algorithms can augment domain knowledge and automate tasks related to flow control and of optimization.This article presents an overview of emerging applications of ML/AI in porous media flow.It outlines fundamental ML/AI methodologies and discusses their uses for understanding, modeling, optimizing, and controlling fluid flows in porous media.The strengths and limitations ML/AI methodologies are briefly addressed in this context related to modeling, experimentation, and simulation.To show the efficacy of this approach, parameter estimation of groundwater virus transport using different deep neural network models are considered.
Perancangan dan Pengembangan E-Catalog Ju Seafood Restaurant

Ju Seafood Restaurant is a small micro and medium enterprise which is engaged in culinary and seafood. The problems faced by Ju Seafood Restaurant are the lack of application of marketing strategies in their business and the use of social media as business support media is still not utilized properly. The method used to carry out practical work activities is divided into 2 stages: the data collection stage and the catalog creation stage. The result of this activity is an e-catalog which is implemented through a social media account, namely Instagram. The implementation of this practical work activity shows that the use of e-catalog has a very good influence on the business development of Ju Seafood Restaurant.
An Efficient Spam SMS Analysis Model based on Multinomial Naïve Bayes model Using Passive Aggressive Algorithm

Abstract The social media can be a platform for information consumption nowadays. On the one hand, it’s free of cost, easy access, and different data dissemination lead people to hunt out and consume social media news. On the contrary, it allows for the broad spread of “spams,” i.e., inferiority news with deliberately false information. The widespread spread of spams has the potential for very negative impacts on people and society. Consequently, the detection of spam on social media has recently become an important research that draws tremendous attention. NLP, an artificial intelligence (AI) division, uses computers and human natural language to produce useful data. In text classification activities, such as spam detection and sentiment analysis, text generation, language translations and document classification, NLP is widely used.
Soft Confusion Matrix Classifier for Stream Classification

In this paper, the issue of tailoring the soft confusion matrix (SCM) based classifier to deal with stream learning task is addressed. The main goal of the work is to develop a wrapping-classifier that allows incremental learning to classifiers that are unable to learn incrementally. The goal is achieved by making two improvements in the previously developed SCM classifier. The first one is aimed at reducing the computational cost of the SCM classifier. To do so, the definition of the fuzzy neighborhood of an object is changed. The second one is aimed at effective dealing with the concept drift. This is done by employing the ADWIN-driven concept drift detector that is not only used to detect the drift but also to control the size of the neighbourhood. The obtained experimental results show that the proposed approach significantly outperforms the reference methods.
An Analysis on Home and School Background Factors in TIMSS 2015: Focus on Students with Negative Attitude toward Mathematics

This research is the follow-up study of Hwang &amp; Ko (2018), in which five different motivational profiles are identified. Considering students with negative motivational constructs (profiles 1 and 2 in Hwang &amp; Ko, 2018) have high potential to perceive them as students who give up on learning mathematics, we examined parents’ education levels, how to do homework and extra lessons, home resources, sense of school belonging, student bullying, and achievement by motivational profile with descriptive statistics, tests, and ANOVA. The findings showed that students would avoid learning mathematics if they have limited home resources while they want to improve their achievement. However, having enough home resources is not enough. If students are not able to see the improvement in their achievement despite their efforts to take extra lessons and spend their home resources, they would also be students who give up on learning mathematics potentially.
Perancangan dan Pengembangan Vıdeo Profıl Lulusan Animator untuk PS Sistem Informasi dengan Teknık Motion Graphic

Undergraduate Program (UP) Information System is a higher education program which begin in 2000 to hold a Computer science education program in Batam area. These days, information systems is growing rapidly, One of them is the development of various kinds promotion media such as video profile. In this Job Training (KP), the result to be achieved is a video profile of an animator, who was graduated from Batam International University (UIB) Bachelor of Information Systems Study Program. This video profile will be created using Motion Graphic Technique. The Output in the form of video profile will be implemented through a website called Youtube
Security and Privacy Based NFC Wallet Design

With the Covid-19 pandemic, contactless and remote payment options have started to be used more widely.NFC technology is also used for contactless payment.In this study, it is aimed to create a payment system using NFC.The design of the payment system used a portable NFC, an Android phone with version 4.4 or higher, an NFC card, Firebase database from Google, and tokenization.We can define tokenization as generating a random string of text with your credit card number.First of all, the developed application must be downloaded and installed on the phone.With this application, the phone will act as a POS machine.Users can use the phone as a POS and make transactions using it.In this system, only a random text string will be visible in an unauthorized access to the database.In this way, security and confidentiality are provided in the system.
A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS

The aim of this chapter is to provide an overview of how road signs can be detected and recognized to aid the ADAS applications and thus enhance the safety employing digital image processing and neural network based methods. The chapter also provides a comparison of these methods.
Data Extraction from Similarly Structured Scanned Documents

Currently, the major part of transmitted and stored data is unstructured, and the amount of unstructured data is growing rapidly each year, although it is hardly searchable, unqueryable, and its processing is not automated. At the same time, there is a growth of electronic document management systems. This paper proposes a solution for extracting data from paper documents considering their structure and layout based on document photos. By examining different approaches, including neural networks and plain algorithmic methods, we present their results and discuss them.
Amazon, Pentagon war cloud controversy draws Defense Department review

The e-commerce giant’s security protocols for its cloud storage database have come under fire after the Capitol One hack.
LibGuides: HCC Library: Interlibrary Loan (ILL)

Use this guide to access information on the HCC Library's operations, resources, collection catalog, Interlibrary Loan, and Research Assistance services.
Thinking Outside the Color Profiling Capture Box

Color-capture systems use color-correction processing operations to deliver expected results in the saved image files. For cultural heritage imaging projects, establishing and monitoring such operations are important when meeting imaging requirements and guidelines. To reduce unwanted variations, it is common to evaluate imaging performance, and adjust hardware and software settings. In most cases these include the use of ICC Color profiling software and supporting measurements. While advice on the subject by experts can be deftly persuasive, discussions of color goodness for capture are clouded by many imaging variables. This makes claims of a single, color-profiling approach or engine moot in the context of a greater workflow environment. We suggest looking outward and considering alternative profiling practices and evaluation methods that could improve color image capture accuracy and consistency.
Lecturers in Adopting Digital Literacy towards Innovation Technological Change

In adopting digital literacy, lecturers must change teaching from traditional teaching to online teaching. Online teaching uses digital technology where technological changes are accompanied by technological innovations that must develop. Thus, lecturers must master new skills using information technology and the Internet. The problem that occurs is the difficulty of lecturers in changing teaching habits in the classroom to the use of digital technology. Thus the productivity and efficiency of education have problems with there is no balance between student test scores that continue to decline. One of the factors is that lecturers are unable and unskilled in adopting digital technology literacy, such as the ability to analyze, take learning resources that are not credible, and the limited internet network in Indonesia. Lecturers need to adopt digital technology to have the knowledge, abilities, and skills of digital technology. This research design was a quantitative and qualitative method, giving questionnaires to 87 lecturers in Banten, Indonesia. The result showed that lecturers could teach using digital literacy on the Internet and innovate the new technology in the learning process. The research purpose is to increase the lecturers' qualification for the 21st-century learning process and to deliver the contents and engage students and lecturer's learning process innovatively and disrupt the old technology
Premium quality hydraulic oils

The base of the final product is the base oil. The final product is ready for use and is a mixture of base oil (or several base oils) and additives. Additives improve the properties of the base oil. Base oils can be mineral or synthetic based. Base oils or base stocks are created from separating and cleaning up crude oil. They are one of several liquid components that are created from crude oil. The crude oil refining process will be briefly described. The American Petroleum Institute implemented a system for describing various base oil types. The result was the development and introduction of base oils group numbers. The API numbers of various base oil groups and the main differences between them will be explained. At the end, premium quality hydraulic oil and its main characteristics will be presented.
Role of WhatsApp Groups in the Effective Delivery of Bangalore University Library Services to their Users: A Study

Information Communication Technology (ICT) plays an essential role in transmitting ideas, thoughts, and information. Social networking websites are a great example of a communication network that is a social structure that allows users to interact and collaborate with other users. WhatsApp is a free quick messenger app that allows users to send text messages and multimedia files. In this paper, an online survey was conducted to measure the role and usability of WhatsApp groups for the delivery of Bangalore University Library services to their users. An online questionnaire was used to gather information from respondents. Findings indicated that respondents showed a positive attitude toward getting library services over WhatsApp groups. Most of the respondents believed that the use of WhatsApp groups plays a significant role in the effective delivery of library services in their study, research, and teaching purposes.