Reviewerly/exHarmony huggingface dataset:
APPLICATION OF SECURE ELECTRONIC TRANSACTION PROTOCOL IN ELECTRONIC PAYMENT SYSTEM

Security of payments is the top-notch priority for every business. But payment security becomes more important when you are using an electronic payment processing system into your business. There are many security measures and protocols for securing your payment systems. Electronic payment is very important the stage of the electronic business system and the need for its security secured.Secured electronic transaction means providing online credit card payments that are discussed widely in the pratokoli. Because of a set of implementation issues have not really been taken up by despite the fact that it is e-commerce participants does not solve all security issues, but SET. SET the x.It is based on 509 standard certifications. This standard is the most reliable type of protection on the Internet so far, through the entire head of the theme we will come out
A Novel Approach of Normalization for Online Handwritten Characters Using Geometrical Parameters on a 2D Plane

Handwritten text recognition is one of the toughest jobs for a computer system as handwriting does not follow any uniform rules. Recognition of handwriting with greater accuracy is a very difficult task for the researcher. Researchers have done many experiments on the offline handwriting of different script, whereas research work on recognition of online character, word or documents for online handwritten data is quite less. Several offline and few online explorations have been done in recognition of English language but online character and word recognition of Indian language particularly for Bengali is an on-going and exciting research area as the alphabets of Bengali script is comparatively complicated than English in shape. A handwriting recognition system involves many pre-processing steps, after pre-processing step normalization is the most momentous step which is usually done before recognition. As different people write handwritten text in different style, so shapes of every same latter also not same for different people. As a result, it is very hard to distinguish a specific character properly. Here we have introduced a new technique by which every character can be converted into a uniform size and shape so the recognition part will be very easy for system. This normalization process consists of two steps. Step one is resizing, i.e.: height and width correction maintaining the pen movement angle remain same considering only busy zone and the second step is the conversion of pen tip movement of the character into a 3X3X3 3D matrix so that every character can be represented in a common and uniform way and the matching for recognition part will be easier. We have tested this proposed technique on 2655 Bengali handwritten basic characters and have got 96 percent of accuracy which is a great achievement.
Zuckerwatte (zcwt): An open-source C++ library for standardizing computation and post-processing of the continuous wavelet transform

In this work we introduce the open-source C++ library zcwt - Zuckerwatte (german for cotton candy) for facilitating working with zero-crossings of the continuous wavelet transform. The software library allows for fully automatic i) computation of the continuous wavelet transform with Gaussian wavelets up to order 8, ii) zero-crossing detection in all calculated scales, and iii) concatenation of zero-crossings to form continuous lines across all scales. This allows to compute zero-crossing lines in a standardized and transparent way with well-defined parameters, enabling reproducible research. Furthermore, as an example application demonstrating the use of these lines we provide an implementation of the iv) multi-scale parameter estimation method and apply it to real-world problems. The library is based on the linear algebra software library Armadillo and has, apart from that, only little dependencies and is easily extensible; e.g., we provide a class for easy definition of other wavelets. We provide a CMake file for simple installation across all operating systems. The library is freely available at: https://github.com/nspi/zcwt.
Attitude towards E-Book Reading among Teacher Educators

In the Internet age, with its expansion of information required for scholarly purposes, students areexposed not only to conventional text, but also electroniccontent. The extend of reading resources haschanged drastically in the digital environment to include Websites, Web pages, e-books, e-journals, enewspapers, e- mail, discussion boards, chat rooms, instant messaging, blogs, wikis, and other multimedia documents. In the present study focused to identify whether there was any significant difference between attitudes towards e-book reading among the teacher educators in Trichy district.Survey method has been adopted. Stratified random sampling method has been advocated to selecting the sample in Trichy district.Attitude Scale on Digital e-books Reader, PrincyImmaculate(2019) was used to identify the attitude among teacher educators. In this study 200 samples were selected in Trichy district. The major finding shows the there is significant relationship between attitude towards e-book reading based on their gender, locality and type of institution. Hence a new type of reading called „reading on the screen‟ and a new type of reader called „screen reader‟ created.
Fractal Structure in Hokusai’s “Great Wave” and the Memory Neural Network

Google used 10 million natural images as input information and performed self-organized learning with a huge neural network with 10 billion synapses, and neurons with a receptive field resembling a cat’s image appeared in the upper layer. Hokusai drew “Great Wave” by using his memory with a fractal structure. Which do you think is “beautiful”: “Google’s cat picture” and Hokusai’s “Great Wave”? I think Hokusai’s one is beautiful. Because it is based on stunning information compression. The proposed network in this paper is composed of a one-layer artificial neural network with feedforward and feedback connections. In the feedforward connections, the spatiotemporal learning rule (STLR) Tsukada et al. (, ) has high ability in pattern separation and in the recurrent connections, Hebbian learning rule (HEB) in pattern completion. The interaction between the two rules plays an important role to self-organize the context-dependent attractor in the memory network. The context-dependent attractors depend on the balance between STLR and HEB. The structure is an important factor of memory networks to hierarchically embed a sequence of events.
The Transforming Power of ProFuturo “E-ducation”

Many barriers to education are preventing children around the world from reaching their true potential. Digital solutions show much promise for addressing challenges associated with socioeconomic, geographic, and cultural circumstances.
Big data in Japan: Copyright, trade secret and new regime in 2018

In the digital economy, 'big data' plays a significant role and can add value to existing services and facilitate entirely new business models. Our digital economy depends and will depend more and more on data. The existing legal instruments - such as, copyright law, unfair competition law, sui generis right for non-original database, and contract law - can protect big data in certain cases. The question is whether to have a particular legal instrument for big data protection by, for example, introducing 'data producer's right', reforming the sui generis right for non-original database, or reforming trade secret protection.
인문학 전공 외국인 대학원생을 위한 교육용 어휘의 선정: 머신러닝 알고리즘을 활용하여

The study aims to select educational vocabulary in the field of humanities for foreign graduate students majoring in humanities in graduate schools in Korea. Foreign graduate students studying in Korea have been steadily increasing in number, and they need to be taught vocabulary necessary to engage in academic activities in their specialized fields. To achieve this goal, a corpus of academic papers in literature, history, and philosophy, a subdisciplinary study that constitutes humanities, was established. Then, words were selected by utilizing the range of vocabulary in the corpus and the TextRank algorithm, one of the machine learning algorithms. Among these selected words, those of low proficiency were excluded. As a result, the finalized vocabulary is presented along with the division of words appearing in multiple fields of study and those appearing in single fields. The results can be used conveniently in actual classroom settings.
Strain geometry and structural analysis of the Oshnavieh ophiolite: A new segment of the Neo-Tethys puzzle

The closure of the Neo-Tethys ocean associated with the ophiolite obduction and the Oshnavieh ophiolite is the unknown part of the Neo-Tethys suture zone. Three well-known band ratio combinations applied to ASTER satellite image the result shows the ((2+4) /3, (5+7) /6, (7+9) /8) band ratio is the proper combination for the reorganization of rock units in the ophiolite regions. Principal component analysis of the (PC2, PC4 and PC 5) is well discriminated against to the rock unit contacts. The general trend of thrust faults is the NW-SE and dip direction is toward the NE. The rake of slickenline on the fault plane is 80°-90° and the mechanism of movement is the pure thrust. The shear sense indicator such as Z-type parasitic folds or mica-fish and S-C fabrics confirm right-lateral shearing sense in the shear zone. Strain geometry on the obducted slab evaluated by the shape of the mineral grains. In the shear zone strain ellipsoid shape is the prolate type and formed under constrictional regime, the Flinn K-value of these samples changes between 2.71 to 11.67 and lode ratio between -0.42 to -0.63. Most of the samples taken from the thrust fault zone located in the flattening zone and strain ellipsoid are pancake-shaped and formed under contractional regime the k-value varied between 0.44 to 0.80 and Lode ratio range is 0.32 to 0.5. The displacement in the thrust zone and shearing by the shear zone disrupted the ophiolite sequence and created an ophiolite melange.
High Frequency Data Compression for Diesel Engine Monitoring

In Marine diesel engine vibration monitoring system, a large number of high frequency data can be detected by high frequency sensors. Using data compression technology can effectively reduce the amount of data monitored by the ship vibration monitoring system and improve the communication efficiency of the system. In this paper, a lossless compression method combining variational mode decomposition (VMD) and run length encoding (RLE) for marine diesel high-frequency data is proposed. First, the signal is decomposed by VMD, and then the decomposed sub-signals and residual signals are encoded. In order to obtain better compression ratio, the compression method of RLE and Lempel-Ziv-Welch (LZW) is adopted. Experimental results show that this method can compress data effectively for high frequency signal of diesel engine morning and save network bandwidth.
Designing for “-ilities”

So far, we have discussed cloud-native principles, patterns, and elements of the cloud. In this chapter, I will explain the quality attributes for designing a system, i.e., how to design for your “-ilities” in a cloud-native environment.
Students’ Perception in Instagram-Assisted Vocabulary Learning with Vocabulary Self-Collection Strategy

The objective of this research was to investigate senior high students' perception on learning survival vocabularies through Instagram-assisted Vocabulary Self-Collection Strategy. This research provides two research questions: (1)In what ways Vocabulary Self-Collection Strategy and Instagram facilitate students in learning vocabulary? (2)What is the students’ responds toward the VSS project with Instagram assisted?  The study was conducted by using classroom action research as the research design. The participants of this study were the senior high school students majoring social program in Karawang. The instruments used in this study were semi-structure interview for students, reflective journal and students’ VSS chart. The findings of this study found three main themes regarding to the students’ perception on Instagram-assisted Vocabulary Self-collection Strategy: (1)Instagram-assisted Vocabulary Self-collection Strategy Enhance Students’ Vocabulary, (2)Instagram-assisted Vocabulary Self-collection Strategy help Students’ Comprehension on Vocabulary, (3)The Challenges of Vocabulary Self-collection Strategy in learning vocabulary. The result implies students can consider taking some text from quotes that have been posted on Instagram as learning media outside of school.Keyword:  Vocabulary Self-collection Strategy, Instagram, Survival Vocabulary, Students’ Perception
CULTUROLOGICAL CHARACTERISTICS OF THE TEACHER'S IDEAL IN PEDAGOGICAL RESEARCH

The article is devoted to the questions of culturological approaches in teaching. The article stresses that Ukraine is experiencing an era of dynamic radical change, when the functions of education and school as a social institution are changing significantly. During the development of society, educational and upbringing priorities in societies change, this leads to a certain transformation and change of traditional paradigms, and as a consequence, to the emergence of new ones. The culturologcal characteristics of a teacher is analyzed. The conclusion is made that they are very important in terms of orientation of education on the upbringing of high moral, cultural personality, capable of preserving, passing on to future generations and creative development of scientific and historical heritage. The article considers traditional educational paradigms. It is stressed that the content of education is usually narrowed to the content of educational material. However the huge information capabilities of global information retrieval systems provide a useful educational transfer of information from one generation to another. It is concluded that without the formed moral, cultural values the specified possibilities of information space can do harm. Therefore, the importance of the culturalogical approach to the education of future tearchers of Ukraine is stressed in the article.&nbsp;&nbsp
Recommendation System for Choosing Subject Area of Study Using Autoencoder Technique

The problem of choosing inappropriate subject area for further study in the university caused by the lack of experience and information related to subject area. Guidance is needed for the student. Furthermore, the student may receive much information and is not matched to student's abilities. Therefore, recommendation system can help to provide appropriate information related to the area of subject to study based on student's profile. Collaborative Filtering approach is the most recognized approach to build the system. However, there is some problems related to sparsity of the training dataset which it should be addressed. Deep learning with Autoencoder technique can help to reduce the dimension of training dataset. It can also detect anomaly to eliminate from training phase. This can also improve the performance of the recommendation system in terms of accuracy. Therefore, in this research proposed the collaborative filtering approach of the recommendation system for the area subject of study with Autoencoder technique. This is to enhance the performance of the system. The results can be seen that the proposed technique performs better compared to traditional technique using neural networks in terms of accuracy rate.
Characterization of a 4-inch GaN wafer by X-ray diffraction topography

We have investigated the crystal quality of a 4-inch GaN wafer by X-ray diffraction topography. GaN (114) diffraction images at various incident angles were obtained to determine the image of maximum intensity and full-width at half-maximum (FWHM). The images reconstructed from the maximum intensity at each detector pixel position indicated that the inhomogeneous crystal quality of the wafer originated from seed crystals during wafer manufacturing. The evaluated FWHM distribution tended to increase and become broader from the center to the edge of the wafer. The q-vector components evaluated from the two rocking-curve images at different azimuthal angles combined with the rotation matrix revealed that the overall lattice planes bowed towards the diagonal direction. A histogram on the tilting angle of the wafer showed that the most frequently observed angle was about 0.03°. We expect that our findings could be applied to wafer quality estimation.
Students’ Need Analysis on Critical Reading Learning Material at English Department of Universitas Negeri Padang

To achieve the objective of learning especially in critical reading course, it is important to provide a good teaching material. One of the important things to do before developing the materials is analyzing the needs of the students. This study aims to analyze studens’ needs on critical reading learning material at English department of UNP. This research was a descriptive study using a quantitative approach with the data collection technique using the combination of closed-ended and open-ended questionnaire. The respondents in this study were 80 students from 2018 at English Department of Universitas Negeri Padang who had taken critical reading course. They were given 25 closed-ended questions and three open-ended questions. The results showed that in the aspect The Important of Topic Variation was categorized as “very important” (82%), The Importance of Tasks in Critical Reading was categorized as “important” (81%), Topic for Critical was categorized as “important”. There were 96.25% students expected to have the improvement in the term of topics in Critical Reading Materials. There were 80% students wanted the improvement in the aspect of tasks. Then, 50% of 80 students wanted the improvement in term of skills.
Performance Analysis of Adaptive Video Streaming Scheme over the UDP-based Transport Protocol

QUIC(Quick UDP Internet Connection)과 SRT(Secure Reliable Transport)는 기존 TCP(Transmission Control Protocol)에서 불가피한 연결 및 전송 지연 시간을 줄이기 위해서 설계된 UDP(User Datagram Protocol) 기반 전송 기술이다. 본 논문에서는 저지연 전송을 위한 QUIC과 SRT의 주요 특징과 혼잡제어 방식을 소개한다. 추가적으로, 최신 적응형 비트레이트 스트리밍이 적용된 DASH(Dynamic Adaptive Streaming over HTTP) 시스템에서 HTTP/TCP와 HTTP/QUIC를 통한 사용자 경험(QoE, Quality of Experience) 결과를 분석한다. QoE 결과는 QUIC의 주요 특징을 반영하여 처리량과 응답 대기 시간을 최적화할 수 있는 저지연 적응형 비트레이트 스트리밍 기술 대한 연구개발이 필요함을 보여준다.
SFE Learning Model for High School Mandarin Teachers in Tebing Tinggi City

This research is entitled 'SFE Learning Model for Mandarin Language Teachers at Senior High Schools in Tebing Tinggi City.' This activity aims to provide assistance in an effort to improve teacher skills in teaching Mandarin to high school students. This teaching training was carried out through a community service program with partner teachers in Tebing Tinggi City High School. This activity started from the anxiety of the principal, where the teacher had not been able to create an attractive and effective learning model. The research used training and mentoring method, starting with socialization activities and then opening in the form of offline motivational seminars. Furthermore, training activities were carried out online using the Zoom Meeting media for two months, involving teachers. The strategy in this activity used the Student Facilitator and Explaining (SFE) type of cooperative learning model. The results of this study are expected to be useful for all teachers in creating an interactive learning atmosphere, with various forms of games and facilitated by current technological advances.
Penerapan Association Rules - Market Basket Analysis untuk Mencari Frequent Itemset dengan Algoritma FP-Growth

&lt;p&gt;&lt;strong&gt;In retail stores, product variations and prices are the main attraction. Products with many discounts are the most sought-after products. The promotion itself requires a special method for determining the discount. The layout in supermarkets is also something that retail stores need to pay attention to. One method that can be used to determine the product layout, promo for each product is Market Basket Analysis. The purpose of this research is to determine associative relation that occurs between items and to find out the solution to the problem of layout arrangement, catalog creation, and determination of shopping vouchers in Gading Mas Swalayan 1 based on the output of Rapid Miner software. Based on the output results obtained 7 associative relationships that have a lift ratio value &amp;gt; 1 and it can be seen the determination of the layout of the item, catalog, and shopping voucher form. Layout changes are made for the comfort and convenience of consumers in taking the products they need and cataloging is determined by combining frequently purchased products with products that are rarely purchased. And the making of shopping vouchers is used to provide discounted prices where this is to reduce inventory and attract consumers.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords – &lt;/strong&gt;&lt;em&gt;Market Basket Analysis, Rapid Miner, Retail, The relation of associative&lt;/em&gt;&lt;/p&gt;
Mining High Utility Itemsets is a Significant Examination Region in Information Mining

Near Analysis of Sequential Pattern Mining and High Utility Pattern Mining in this mining region, consecutive example mining and high utility example mining assumes a significant part. Consecutive example mining worried about mining measurably applicable examples where, information are conveyed in a succession and high utility example mining concerned finding itemsets with a high utility like the benefit from the data set. Various calculations have been work on these spaces, yet some of them have an issue of creating an enormous number of insignificant examples. Because of this exhibition of mining is diminished on account of execution time and gives a less precise outcome. Thusly as opposed to applying single mining strategies, if both consecutive and high utility mining client will get more productive and valuable examples. In this paper, I have dissected working of successive and high utility mining method.
Sistem Informasi Keuangan Pada Pt Total Lintas Samudera

PT Total Lintas Samudera is a company engaged in Logistics &amp; domestic and international shipping services. At PT Total Lintas Samudera, reports are still made separately between the customer service and accounting divisions with a single entry or made per division and are not connected in one system. Between expenditure data and financial reports have not been connected in one system, which causes it to be unable to generate reports automatically. This makes the company work less effectively and efficiently, which results in the slow preparation of reports. For this reason, an information system is designed and built to manage web-based financial reports to make it easier to present reports more efficiently—design and Build of Financial Information System PT. Total Ocean Crossing begins with collecting data, and then from that data, functional and non-functional analysis can be carried out. After that, do the design, prepare black box testing test scenarios, determine the schedule of activities, implement the system, and finally do system testing—financial Information System PT. Total Lintas Samudera has two user levels, namely admin and leadership. The test results found that the test was by the system design, and everything could work as expected.