Reviewerly/exHarmony huggingface dataset:
MLN Volume 134 Supplement. Tradition and the Individual Text: Essays in Memory of Pier Massimo Forni

This special edition of MLN, edited by Federica Brunori Deigan, Francesco Ciabattoni, and Stefano Giannini is dedicated to the memory of the late Pier Massimo Forni, and the breadth of its articles...
Two-Phase Learning for Overcoming Noisy Labels.

To counter the challenge associated with noise labels, the learning strategy of deep neural networks must be differentiated over the learning period during the training process. Therefore, we propose a novel two-phase learning method, MORPH, which automatically transitions its learning phase at the point when the network begins to rapidly memorize false-labeled samples. In the first phase, MORPH starts to update the network for all the training samples before the transition point. Without any supervision, the learning phase is converted to the next phase on the basis of the estimated best transition point. Subsequently, MORPH resumes the training of the network only for a maximal safe set, which maintains the collection of almost certainly true-labeled samples at each epoch. Owing to its two-phase learning, MORPH realizes noise-free training for any type of label noise for practical use. Moreover, extensive experiments using six datasets verify that MORPH significantly outperforms five state-of-the art methods in terms of test error and training time.
Research on Real-Time Compression and Transmission Method of Motion Video Data Under Internet of Things

In order to improve the real-time transmission ability of motion video data, it is necessary to compress video data. A real-time compression method for motion video data based on wavelet analysis and vector quantization is proposed. The two-dimensional wavelet transform is used to decompose the motion video and transform the time and frequency domain, and the quantization error is used to compensate for the video data. According to the method, the motion video data under the Internet of things are processed by LBG vector quantization, and the method of error compensation coding is used to smooth the noise of the motion video data under the Internet of things. The motion video of the N codebook is coded and combined with the multi-layer wavelet scale decomposition method, the real-time compression of the motion video data under the Internet of things is realized. Simulation results show that the proposed method can achieve better real-time compression and transmission of motion video data, and lower output error rate.
Design and Implementation of an Automated Train Transportation Ticketing System for Kaduna to Abuja Train Stations

Transportation is an easy way of moving goods, people or animals from one place to another. There are different types of means to which things can be transported but the area we are going to concentrate on is transportation by train. Rail transport is a means of transporting people and goods from one place to another via a train. Trains are vehicles that runs on rails or tracks. Ever since humans came to existence, the drive we have towards knowledge, inventions and innovation is on an unending loop. Thanks to that, we have profoundly moved forward in terms of our technological developments and thus created things that added more value and efficiency to our day to day activities. In this work, we lay out a research intention directed at designing and implementing an automated train transportation ticketing system for the Kaduna-Abuja Train Stations. Keywords: Design, Implementation, Ticketing, Automated Train Transportation System, Kaduna, Abuja Train, Stations
Classification of Relationship between Alumni Competence and Work Using Decision Tree Method

This study discusses the classification of the relationship between personal competence with work on the tracer study data of the PLN Institute of Technology. The results of the data from the alumni survey will be processed using a decision tree method that aims to provide information related to the relationship between personal competencies which have a very close relationship, close enough and not close to the work that the alumni get and become an evaluation material for the campus in the future. Where the decision tree method is one of the data mining classification methods that provides a tree structure that will serve as a decision tree. The tracer study data used from the graduation years of 2015, 2016, 2017, 2018 and 2019 are processed based on the year. And consists of 13 competency attributes and one competency that is used as a label or target. Based on the application of this method each year of graduation has a different level of accuracy based on the state of each data, for tracer study data 2015 graduation year accuracy of 56.03%, 2016 graduation data accuracy of 56.03%, while for tracer data the 2017 graduation year study was 78.90% accuracy, for the 2018 graduation study tracer data the accuracy was 52.94% and for the 2019 graduation tracer study data the accuracy was 40.12%.
Komparativ studie av rörelsedetektorer i ett övervakningssystem

False alarms in home surveillance systems are an annoyance for customers and it has become a much-debated topic. There are several previous studies where the purpose is to reduce the number of fals ...
A Pandemic Circumscribing another Pandemic: The Covid 19 World of Disabled Women

Accessibility and inclusion have always been a major impediment in the lives of the disabled. As a result, their lives have always been ontologically nebulous from the gaze of the outside world. Covid-19 has brought new norms of normalcy and extrapolating social behaviour such as social distancing. Such a regimented form of behaviour has ossified even further the problems of inclusion and accessibility. The upsurge of the pandemic has further complicated the forms of social behaviour and thereby adding more to the disability of an already disabled. This paper aims to analyze the problems of this new behavioural norm by the espousal of a centrifugal outlook and multilateral imagination keeping the disabled as the focal point of discussion. It also explains vis-a-vis Foucault’s idea of Bio politics, the ways new norm installs amongst people a different kind of solidarity based upon a common idea of vulnerability.
THE USE OF GOOGLE DOCS AS AN ONLINE COLLABORATIVE TOOL IN TRANSLATION CLASS

Google Docs menyediakan fitur-fitur yang dapat digunakan untuk mempromosikan interaksi rekan. Namun, penggunaan Google Docs sebagai media belajar dan mengajar jarang dilakukan dan masih terbatas pada pengajaran menulis di Indonesia. Penelitian ini menggunakan studi kasus kualitatif sebagai desain penelitian. Kuisioner digunakan sebagai instrument untuk mengumpulkan data. Penelitian ini melibatkan delapan belas peserta. Temuan penelitian ini menunjukkan bahwa penerapan Google Docs di kelas terjemahan dapat meningkatkan kolaborasi antar siswa. Ini menunjukkan bahwa Google Docs adalah alat yang cocok yang dapat digunakan untuk tujuan pendidikan untuk mempromosikan pembelajaran kolaboratif di kelas.Kata kunci: Persepsi, Google Docs, Alat Kolaboratif Online, Kelas Terjemahan, Pembelajaran Kolaboratif-------Google Docs provides characteristics that can be used to promote peer interaction. However, the use of Google Docs as teaching and learning media is rarely conducted and still limited to teaching writing in Indonesia. This study employed qualitative case study as the research design of the study. Questionnaire was used as the instrument to collect the data. This study involved eighteen participants. The findings of this study showed that that the implementation of Google Docs in translation class could enhance collaboration between students. It indicates that Google Docs is a suitable tool that can be used for educational purposes to promote collaborative learning in class. Keywords: Perception, Google Docs, Online Collaborative Tool, Translation Class, Collaborative Learning
청조(淸朝)와 조선(朝鮮)의 『제륙재자서서상기(第六才子書西廂記)』 비평 비교 고찰

This article compares Diliucaizishu Xixiangji criticism in the Qing dynasty and the Joseon dynasty. The literati of the Qing and the Joseon wrote commentaries on Jin Shengtan’s Diliucaizishu Xixiangji, and their commentaries differ in their intentions and methods.The reviewers of the Qing wrote their commentaries to provide the unspecified readers with an accurate explanation on Xixiangji. On the other hand, reviewers of Joseon valued personal appreciations of Xixiangji and wrote them down to share them with their acquaintances.In terms of the critical method, the Qing’s reviewers mainly focused on revealing how beautiful and excellent the expressions of the lines and the lyrics are, while the Joseon’s reviewers mainly used the methods of evaluating or analyzing the words and actions of the characters in the same way as when they evaluated people in the real world. In addition, while the Qing’s reviewers often viewed a passage in connection with the whole work or the other part of the work and criticized it in terms of narrative structure, the Joseon’s reviewers often viewed a scene independently and wrote personal impression on it.
Pengembangan Sistem Informasi Pelaporan Transaksi Penjualan Dengan Multilokasi dan Multi Harga Produk Pada Konter

Abstract Counter sales transaction reports such as credit transactions, electricity tokens, data package vouchers, and others are very important for the counter owner to make a decision on adding stock of Non PPOB products or deposit balances for PPOB transactions. The problem is when the counter owner still uses conventional sales transaction records and has more than one location with different product selling prices based on sales locations. Therefore we need an information system to facilitate the management of sales transaction reports even though there are many branches with distant multilocation and multiproduct prices that differ from each sales location. To develop information systems using the waterfall method which consists of system requirements analysis, system design, implementation, testing, and evaluation. The system design uses Unified Modeling Language (UML) which consists of use case diagrams, activity diagrams, sequence diagrams and class diagrams because the system built is object oriented. The results of testing the system using the black box method obtained from the twelve functions that were tested 100% successfully run as expected. The results of the evaluation of the processing time of the daily transaction report in the conventional manner at three locations require 1 hour 30 minutes while using the information system only requires less than 1 minute.
ANALISIS SWOT UNTUK STRATEGI PENGEMBANGAN INOVASI DISRUPTIF PROGRAM STUDI TEKNIK INFORMATIKA

An organization or agency that does not have the ability to innovate, the organization or agency will automatically disappear, leaving its users. Innovation is a way to deal with all forms of change and uncertainty in the changing times and changes in the desires of its users. The innovation strategy must begin with an external and internal analysis of the organization or agency, one of these development strategies is a SWOT analysis. Strategy analysis activities using absolute SWOT analysis to be carried out by all agencies, one of which is the educational institution, namely the Informatics Engineering study program. The results of the SWOT analysis show that the strength of the Informatics Engineering study program is the improvement of the quality of students and graduates and the accreditation of study programs that are considered good. For the obstacles that the study program has is related to the number of lecturers, which is still a lot not linear with the study program. The strategy that the study program needs to take is to create disruptive innovations that are able to create new target markets
Experimental Measurement-Device-Independent Quantum Key Distribution with Uncharacterized Sources

We carry out a proof-of-principle demonstration of three-state uncharacterized measurement-device-independent quantum key distribution over 170 km, achieving the longest transmission distance under the same security level on record.
Strategi pembelajaran e-learning untuk ABK pada jenjang PAUD

This study aims to find out e-learning strategies for child with special needs in ECEP (Early Childhood Education Program). This research was done at Laboratorium PAUD Anak Ceria in Surabaya. E-learning strategies for child with special needs can be identified through interviews with the head of laboratory and the teacher. Based on the results of the research, e-learning strategies for child with special needs is using TLC learning system and still refers to 2013 curriculum. In e-learning based learning, the main media that parents, students, and also teachers needed are the internet and video conference application, to be able to communicate with each other (video call) and send videos of students activities at home while they’re studying. To make an efficient learning program, parents need to prepare facilities for students to acces e-learning, while teachers need to prepare the teaching material that suitable for e-learning based learning. E-learning strategies will run optimally if there is good cooperation between teachers and parents in educating and motivating students during e-learning era.
Principal Component Analysis as a tool for analyzing translation style.

The present paper introduces a computational approach to analyzing translating style based on Principal Component Analysis (PCA), a multivariate statistical method popularly used to classify texts and attribute authorship. The paper describes merits of using PCA for exploring translating style and explains the typical procedure involved in performing a PCA analysis on corpus data. As a case study for illustrating this approach, the paper applies PCA to investigate stylistic differences between two English translations of a Korean novel, using most frequent 1-gram, 2-grams and 3-grams as linguistic features. The results reveal a marked distinction across all three PCA analyses between the two translated versions, which include differences in vocabulary diversity, reference chains, syntactic structure and use of general nouns in referring to fictional characters.
Hiding a text message in an image using Vigenere cipher and LSB steganography

Steganography has arisen throughout the years as a basic and conductive option for advanced information transmission. The craft of mystery contact is steganography. The fundamental point is to send the data from sender to objective and nobody should see it. There are numerous applications used to perform steganography. In the current work, the message which is to be covered up is encoded utilizing vigenere figure calculation and afterward utilizing LSB steganography the message is put away in a picture. Furthermore, to get back the message put away we should utilize LSB steganography and afterward we should utilize vigenere figure unscrambling calculation to get genuine message.
Precious Metal Prediction by Using XAI in the Perspective of Digital Transformation

Recent advances in deep learning methodology led to artificial intelligence (AI) performance achieving and even surpassing human levels in an increasing number of complex tasks. There are many impressive examples of this development such as image classification, sensitivity analysis, speech understanding, or strategic gaming. The estimations based on the AI methods do not give any certain information due to the lack of transparency for the visualization, explanation, and interpretation of deep learning models which can be a major disadvantage in many applications. This chapter discusses studies on the prediction of precious metals in the financial field that need an explanatory model. Traditional AI and machine learning methods are insufficient to realize these predictions. There are many advantages to using explainable artificial intelligence (XAI), which enables us to make reasonable decisions based on inferences. In this chapter, the authors examine the precious metal prediction by XAI by presenting a comprehensive literature review on the related studies.
Intelligent Control Location Detection System Based on Machine Vision and Deep Learning

Nowadays, the competition in the manufacturing industry is more and more fierce, in order to save costs, improve production efficiency and automation degree, there is an urgent need for enterprises to improve the production line. In this process, the application of machine vision technology is more and more extensive, especially in the industrial production of location detection, development is particularly rapid. The purpose of this paper is to provide technical Suggestions for the optimization of the intelligent control positioning detection system based on machine vision and deep learning. This article is to major scientific research project “mechatronics” the researches on the mechanism of the low voltage circuit breaker intelligent test as the backing, in the research background of low-voltage circuit breaker production testing, using distributed control technology, testing technology and intelligent control technology, machine vision technology, sensor technology and combining with field production experience, research and development of intelligent control orientation detection system based on machine vision technology, the results showed that the rate of each link adaptation remain below the 112 ms. The system improves the existing manual testing method, which can quickly, stably and accurately detect the location, so as to adapt to the increasingly severe competition.
Autoencoder and GAN

In this chapter, we will emphasize on computational iterations in autoencoder and GAN (generative adversarial learning). Additionally, we will deeply learn deep learning and interpret how information theory has been applied to the implementations of deep learning models.
Innovation of Tourism Education Courses in Higher Vocational Colleges Under the Background of Big Data

Under the background of the era of big data, the tourism curriculum of higher vocational colleges has ushered in new challenges, and corresponding adjustments have been made in the innovation of education and teaching mode, making the tourism education curriculum model of higher vocational colleges more suitable for the era of big data. Based on the background of big data, this article researches innovative methods suitable for tourism education courses in higher vocational colleges. This article thoroughly explores the reasons that restrict the professional development of teachers’ professional competence in tourism education courses from government organizations, higher vocational colleges and teachers themselves, and on this basis, seeks a way to develop the professional competence of teachers in tourism education courses. Improve the professional competence of tourism education teachers in higher vocational colleges, so as to improve the level of tourism education in higher vocational colleges in China, and ensure the healthy and rapid development of tourism and social economy. With the help of this method, this article collects and categorizes relevant information on the constituent factors, interrelationships and influencing factors of the professional competence of tourism education teachers in higher vocational colleges, and puts forward certain assumptions on the definition, composition and influencing factors of the course shipping industry. Test the hypothesis under different conditions and at different times. The experimental research results show that the reform of the closed traditional education curriculum management model and incentive mechanism provides a platform and conditions for tourism education curriculum teachers to actively improve their professional capabilities, thereby improving the quality of tourism management professional training in higher vocational colleges and providing tourism for China Make greater contributions to vocational education.
Data Evaluation and Enhancement for Quality Improvement of Machine Learning

The poor quality of a dataset may produce low quality machine learning system. Therefore, transfer learning as a demonstrated effective approach for data quality improvement has been widely used for improving the quality of machine learning. However, the "quality improvement" brought by transfer learning in some studies was not rigorously validated or was even misleading. In this paper, we first investigate the quality problem of the datasets that were used for building a machine learning system. The system was claimed to have achieved the best performance comparing to existing work on a machine learning task. However, the "best performance" was due to the poor quality of the datasets as well as the incorrect validation process. Then we described an experimental study to demonstrate the effectiveness of transfer learning for improving the quality of datasets. However, the experiment results also show the quality improvement of transfer learning is not guaranteed, and a set of requirements have to be meet before applying the approach. Based on the investigation and experiment results, we propose a group of data quality criteria and evaluation approaches for quality improvement of machine learning. We investigated the research problem and explained the results through studying a machine learning system for normalizing medical concepts in social media text with open datasets.
호텔조리사가 지각하는 일터학습이 이중몰입에 미치는 영향에 있어 학습몰입의 조절효과

In this context, with the employees especially in the cooking department of hotel enterprises, this study elucidated the effects of workplace learning that they perceive on dual commitment with organization and career, and verified not only the moderating effects of learning commitment from the relationship between two factors. From the empirical analysis, the results were derived as follows. Firstly, the dual commitment exhibited to be influenced mostly from formal learning, and followed by incidental learning and informal learning among workplace learning. Secondly, it was observed that organization commitment increases more when both the informal learning among workplace learning and the learning commitment are perceived higher simultaneously, on the other hand, when the formal learning among workplace learning and the learning commitment are perceived higher simultaneously, career commitment decreases. Thus, it is necessary for the hotel enterprises to prepare the opportunity and environment that a learner by oneself can commit to learning and to make them have own objectives.
PECULIARITIES OF FOREIGN LANGUAGE TRAINING GENERATION Z: THE PRACTICE OF WORKING WITH SECONDARY VOCATIONAL EDUCATION STUDENTS

The paper gives a detailed description of peculiarities of the modern generation of secondary vocational education students who, according to the theory of generations, represent generation Z. The author offers effective foreign language training techniques which take into account the characteristics of new generation students in the modern conditions and aim at developing their communicative skills. The team work ability is emphasizes.
LibGuides: Wellness Resource Guide: VR/AR

Library resource guide for IU School of Medicine Virtual Reality and Augmented Reality wellness resources
Continuous Integration Pipelines to Assess Programming Assignments : Test Like a Professional

Examiners of programming assignments in higher education and people in the software industry both need to test and review code. However, the assessing techniques used are often quite different. The ...
Orthogonal Wavelet Bases for L2 (Rn )

An orthogonal wavelet basis consists of dilates and translates of one function or, more generally, a relatively small finite number of functions. In this presentation we give the details of the construction of such bases where the dilation is defined via a fairly general linear transformation. A liberal number of examples are given to illustrate the flexibility of the recipe.
Showers on the way now, but some fall sunshine will shine through this weekend

Rain is on the way! Showers will hang with us through late Friday before we dry out and get a brief break in between systems.