Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF NATURE INSPIRED ALGORITHMS

Nature Inspired Optimization algorithms has grabbed a significant notice for their methodologies in problem solving. Some of the popular nature inspired algorithms which were used for optimization are Genetic Algorithms (GS), Particle Swam Optimization (PSO), Fuzzy Systems (FS), Artificial Neural Network (ANN), Cuckoo Search (CS). Several real world problems are achieved using nature inspired algorithms and also optimization with these algorithms place a crucial role in solving the problems. In our project we were implementing various nature inspired algorithms and compare among them in terms of performance, speed, and their ability to reach best solution.
Detecting Video Inter-Frame Forgeries Based on Convolutional Neural Network Models

In the era of information explosion today, videos are easily captured and made viral in a short time and tampering videos have become easier due to editing software. So, the authenticity of videos become very essential. Video inter-frame forgeries are the most common type of video forgery methods. Until now some algorithms have been suggested for detecting inter-frame forgeries based on handicraft features but the accuracy and speed in processing of suggested algorithms are still challenging. In this paper, we are going to put forward a video forgeries detection method for detecting video inter-frame forgeries based on convolutional neural network (CNN) models by retraining the available CNN models trained on ImageNet dataset. The proposed methods based on CNN models which have been retrained to exploit spatial-temporal relationships in a video to robustly detect inter-frame forgeries. And in order to eliminate the errors due by the network, we have proposed a confidence score instead of the raw output score from networks. Through the results of experiments, we have proven that the proposed method has significantly higher efficiency and accuracy than recent methods.
LibGuides: Coronavirus Resources: For Librarians

A collection of online resources conveniently gathered in one place for updated information on the global coronavirus outbreak.
LibGuides: Coronavirus Resources: Remote Work

A collection of online resources conveniently gathered in one place for updated information on the global coronavirus outbreak.
SCap Net: A Capsule Network Based Approach for Person Re-identification

Tagore, Nirbhay Kumar Mondal, ArnabAutomatic individual re-identification proof in a multi-camera observation arrangement is significant for powerful following and checking swarm development. As of late, a couple of deep learning-based re-ID methodologies have been created which are precise be that as it may, time-escalated, and in this way unacceptable for reasonable applications. Capsule networks have demonstrated empowering results on de facto benchmark computer vision datasets, for example, MNIST, CIFAR, and smallNORB. This paper proposes a SCap Net, a deep network architecture for person re-identification. With this SCap Net, we present Siamese Capsule networks, another variation that can be utilized for pairwise learning errands. The model is prepared to utilize contrastive loss with l2-normalized capsules encoded pose features. The proposed technique has been assessed on three publicly available datasets: VIPeR, CUHK01, and CUHK03. Results obtained are presented in the CMC curves show that our methodology resolves the orientation and pose based dissimilar image problem and also improves the Rank 1 accuracy from various existing approaches.
An Empirical Study to Analyse the Effect of Demographic Factors on Knowledge and Usage of Social Media Marketing among Businessmen

Social Media Marketing is an essential mode of marketing for companies of all types and sizes. It serves as an effective medium of communication between seller and customer. Big and branded companies opt for this way to reach customers in various possible ways. In this study, our focus is on people having family or personal business. We want to study whether they are aware of this concept and using it for betterment of their business status. Our objective is to study the impact of demographic factors on the knowledge and usage of Social media as a tool of marketing taking a sample of 165 persons engaged in business. The sample was collected by means of a questionnaire for nine months in 2019 in and around Kolkata. All the respondents were female and hence the demographic factors like age, education, resident and marital status were concerned. Various charts are used to represent data in various ways, statistical test like Chi-square Homogeneity test has been conducted for each of the demographic factors. Regression Analysis had been done to find out the significant factors impacting knowledge and usage of social media marketing. Knowledge and usage did not vary much between married and single people and also for people living in urban and semi-urban areas. Impact of age and marital status are significant on knowledge about SMM while impact of other factors is insignificant.
국어교육과 『국어』 교과의 미래

The 2015 Revised National Curriculum was announced 120 years after the establishment of the Hansung Normal School and 60 years after the implementation of the First National Curriculum. This revised curriculum, however, remains as an extension of the Seventh Curriculum which represented 20th century education. The forthcoming 2022 National Curriculum should serve as a starting point for Korean language education to go beyond the boundaries of modern education and move towards the post-modern era. With respect to this, the paper examines pressing matters regarding the future of Korean language education, Korean as a school subject, and specific parts of the national curriculum revision process that must be addressed.The future of Korean language education entails technological, social, linguistic, and educational changes to bring about Linguistic Singularity. It must focus on developing cognitive, emotional, and social problem-solving skills; collaborative skills with humans and machines; and meta-capabilities from the perspective of lifelong learning. To achieve this, the Korean subject should be reorganized to prioritize the development of grade 1 to 12 students while taking into consideration the systematic nature of elective subjects. Likewise, we should set goals for our educational system, produce content that is adapted to the changing needs of society, and further improve our teaching-learning materials and evaluation to keep pace with developments in the educational and language environment. Rather than the conventional academic system of Korean language education, we need a “bumpy curriculum” that takes every necessary and possible condition into account and puts the needs of individuals, society, and the nation first.
SURAT-SURAT CINTA DI BAWAH LINDUNGAN KA’BAH Kajian Perbandingan Novel dan Film

The position of the love letter in the novel Di Bawah Lindungan Ka'bah by Hamka (1st/1938 print, 31st/2010 print) with the same film directed by Hanny J. Saputra (2011) is very different and shows the multimedia sensibility that keeps track meaning within the frame of space and time. Therefore, in studying it used the orality and literacy paradigm and vehicle transfer. The method used is comparative literature. As a result, letters that translate literacy become central in novels because letters are in the same position as novels in written or literary traditions, so that exploration of letters goes hand in hand with the objective conditions of the text and the articulation of supporting media in maximizing the message to be conveyed. Meanwhile, in transferring to films, letters metamorphose into devices with different functions and forms, because their position becomes melting with new media sensibilities that emphasize audio-visual, so that the mentality is built up in the nuances of oralities. Love letters in novels as a link between two people's feelings, while in film, it is only an ornament to accompany rides and adaptations from novels to films, and the awareness that is built is a mentality of freedom that depends on memory, so it is called the second or secondary orality.
Probing User Perceptions on Machine Learning

Machine Learning is a technology that has risen in popularity in the last decade. Designers face difficulties in working with Machine Learning as a design material. In order to help designers to co ...
LibGuides: Classical Civilizations: Find Web Resources

Classical Civilizations studies the work and writings of the Greco-Roman writers and philosophers. You will find resources aimed to help you in your research for this field. If you need any assistance, please contact your librarian.
Keyphrase Rubric Relationship Classification in Complex Assignments

Diversity in content and open-ended questions are inherent in complex assignments across online graduate programs. The natural scale of these programs poses a variety of challenges across both peer and expert feedback including rogue reviews. While the identification of relevant content and associating it to predefined rubrics would simplify and improve the grading process, the research to date is still in a nascent stage. As such in this paper we aim to quantify the effectiveness of supervised and unsupervised approaches for the task for keyphrase extraction and generic/specific keyphrase-rubric relationship extraction. Through this study, we find that (i) unsupervised MultiPartiteRank produces the best result for keyphrase extraction (ii) supervised SVM classifier with BERT features that offer the best performance for both generic and specific keyphrase-rubric relationship classification. We finally present a comprehensive analysis and derive useful observations for those interested in these tasks for the future. The source code is released in \url{this https URL}.
The Dataset for Printed Brahmi Word Recognition

Publicly available dataset is important for character, word or document recognition. The use of a standardized dataset will provide a fair or reliable comparison between the performances of the underlying recognition algorithms. Research on Brahmi words recognition had achieved encouraging results. However, there is no publicly available standardized Brahmi dataset. In this paper, the steps in producing a publicly available Brahmi dataset are presented. These steps include data collection, segmentation, storage, labeling, and statistical distribution. A total of 7,011 images of Brahmi characters were collected. The collected dataset is divided into three classes: vowel, consonants, and compound characters. In total, there are 170 classes with 4 of these classes belong to vowels, 27 classes of consonants, and 139 classes of compound characters. The 170 classes of characters are further divided into training and testing sets; 6,475 images in the training set while 536 images in the testing set.
Penerapan Metode Decision Tree Untuk Memprediksi Prestasi Siswa Kelas XII Dilihat dari Nilai Akhir Semester di SMK Negeri 1 Selong Tahun Pelajaran 2017/2018

Along with the development of the human mindset, humans begandevelop systems that can help humans in overcoming problems that arise can be solved easily. Decision tree or better known as the decision tree is an implementation of the system that humans develop in finding and making decisions for these problems by comparing various kinds of problems related to these problems and related to education. Education is a conscious and planned effort to realize learning and the learning process so that students can increase the potential needed by themselves. The function of education is very important as one of the factors driving the development of human resources with the aim of increasing the ability of the community to develop science. Thus, the teaching and learning process is one of the determining factors for the success of education in schools, the low quality of education is the result of the low quality of the learning process carried out in schools. On this occasion, the researcher made preparations for the grades of class XII students at SMK Negeri 1 Selong for 2018/2019 school year using RapidMiner as a tool and applying the Decision Tree method to assess student achievement levels as seen from the report card grades. This research is one of the school action research conducted by researchers who conducted this research in order to improve the achievement of students of SMK Negeri 1 Selong. DOI : 10.29408/jit.v3i1.1825
Dynamic Debugging System of EMU Based on Cloud Platform

At present, China’s EMU debugging system is still in the “paper-based stage,” realizing the automation of EMU debugging is the future development trend. Cloud platform has the characteristics of resource integration and parallel processing of large amounts of data, and it can comprehensively process and store a large amount of data. Thus, it can process and store large amounts of data in an all-round way to meet the real-time processing and storage requirements of dynamic debugging system of EMU. This paper proposes a cloud-based dynamic debugging system of EMU, puts forward the overall structure of the system, and designs the cloud platform of dynamic debugging system in detail. Finally, tacking the debugging of CRH380 EMU as an example, the system function is explained and verified. The example shows that compared with the traditional dynamic debugging system of EMU, this system integrates the decentralized debugging process into a whole, realizes the collaborative work among departments, and improves the debugging efficiency, which is a feasible scheme.
ERROR ANALYSIS OF USING SIMPLE PAST TENSE BY THE SECOND GRADE STUDENTS OF ESCOLA DE HOSPITALIDADE E TURISMO BECORA, DILI TIMOR LESTE

The problem of the study are Formulated as follows: (1) What types of Errors made by Second Grade students of Escola de Hospitalidade e Turismo Becora-Dili in the school year 2019 in using Simple Past Tense in English ? ( 2 ) What causes the students made errors in using Simple Past Tense? The main objectives of study are to describe the types of errors of simple past tense made by the students and the causes of errors of simple past tense. In this study the writer used qualitative descriptive method in order to analyze and describe the level of students in using Simple Past Tense in Escola de Hospitalidade e Turismo Becora - Dili in the school year 2019. The respondent of this study were 21 students. The test was conducted of 20 items test of error analysis. The result of the researched showed that the researcher found the most dominant error students made is error of misformation with the percentage is 34.04% or amount 48 errors. The other percentage of errors are 28.37% or 40 for error of omission, 26.95% or 38 for error of Misordering and 10.64% or 15 for error of addition. Keyword: Error Analysis, Using Simple Past Tense
The Meaning of Hulbert Series Textbooks in Modern Knowledge Acceptance Process

This article aims to comprehensively examine the publishing history of the Hulbert series, the background from which it emerged, and its composition and characteristics in terms of the acceptance and dissemination of modern knowledge. According to C.N.Weems (1962), in his Hulbert’s History of Korea, the series refers to a series of textbooks he planned with his colleagues while serving as a teacher at a state middle school (now known as Imperial Middle School). However, little attention has been paid to the publication history, content, features, and significance of this series.BR Hulbert came to Korea as a YUKYOUNG GONGWEON(national school) teacher in 1886, and he wrote the first Korean language geography textbook, the SaMin-Pilji. He taught in a teaching school in 1897, was a government middle school teacher until 1905, and attended the Hague Peace Conference in 1907. He has left achievements in every field of Korean modern history.BR The Hulbert series is not known in its entirety. Following a letter he wrote, it is estimated that at least 12 textbook series were planned, but to date only five books have been confirmed as part of the series: Chohakjiji (초학디지), Samin Min-Pilji (사민필지), History of America (미국사긔), Saengrihak Chogweon (생리학초권), and Cheonmunryakhae (텬문략해). It is possible Dongmulhak (동물학), Sikmulhak (식물학) and Daehanryeoksa (대한력사) are also part of the series but it is unclear as to whether the copyright is preserved, so it is not possible to confirm.BR Despite these limitations, this study of the Hulbert series aims to highlight
Active Learning with Unsupervised Ensembles of Classifiers

The present work introduces a simple scheme for active classification of data using unsupervised ensembles of classifiers. Uncertainty sampling, with different uncertainty measures, is evaluated for data selection, while an online expectation maximization algorithm is derived to estimate model parameters on-the-fly. Preliminary tests on real data showcase the potential of the novel approach.
ANALISIS KETERKAITAN KECERDASAN EMOSIONAL (EMOTIONAL QUOTIENT) DAN KETAHANMALANGAN (ADVERSITY QUOTIENT) DALAM PEMBENTUKAN MOTIVASI BELAJAR SISWA KELAS VA DI SEKOLAH DASAR NEGERI JELAMBAR BARU 01

This study is a quantitative while using survey methods. The purpose of this study was to determine whether there is an influence of emotional quotient and adversity quotient in learning motivation of fifth grade A students. The results of the first hypothesis with a partial test (t test) showed that t count = 5.750 > t table = 2.052 with a significance of 0.000 t table = 2.052 with a significance of 0.001 t table = 2.052 with a significance of 0.000 F table = 3.35 with a significance of 0.000 < 0.05,  as a result,  is rejected and  is accepted. Based on these data it could be concluded that emotional quotient and adversity quotient simultaneously have a positive and significant influence on students’ learning motivation.
Heavy Mineral Distribution and Provenance Studies of Coastal Sediments of Visakhapatnam Coast â€“ Statistical Approach

The present work aims to address the heavy mineral studies of coastal sediments.  There are three different environments that are studied in the present investigation.  They include beach sediments from VUDA Park to Bheemili, coastal red sediments at INS Kalinga area and sediments from Gosthani estuary sub-environments.  The interpretation of heavy mineral data sets indicates that the nature and presence of similar heavy mineral assemblage in a beach sub-environments, coastal red sediments, and Gosthani estuary sub-environments suggests that the study area heavy minerals have been derived from the same source of lithologies.  The heavy mineral assemblages and their concentrations of heavy minerals in different sub-environments of coastal sediments are derived mainly from metamorphic suite of rocks i.e., Eastern Ghats group of rocks of khondalites and charnockites etc. The results of the cluster analysis have clearly brought about the importance of variations in the heavy mineral percentages in forming clusters. Application of cluster analysis on the heavy minerals variations resulted in two main clusters.  Cluster-1 consists of nine sub-clusters and cluster-2 consists of eight sub-clusters.  Beach environment and Gosthani estuary sediments fall under the cluster-1 category. The predominance of coastal red sediments is fall under the cluster-2 category.  The clusters and sub-clusters have certain distinct characteristics which make them different from others and hence they have formed separate groups.
Pengelolaan Media Pembelajaran Menggunakan Teknologi Informatika Untuk Meningkatkan Vocabulary Bahasa Inggris Di SMP 6 Salatiga

This study aims to provide an overview of the management of learning media using informatics technology to improve English vocabulary in SMP Negeri 6 Salatiga. This study also explains 1) How the preparation of learning media uses informatics technology to improve English vocabulary in SMP Negeri 6 Salatiga 2) How is the implementation of learning media using informatics technology to improve English vocabulary in SMP Negeri 6 Salatiga 3) How to evaluate learning media using technology informatics to improve English vocabulary in SMP Negeri 6 Salatiga. This type of research is qualitative research with a case study approach. The place of research in the SMP Negeri 6 Salatigaschool for research subjects is the principal, English teacher, sarpas section, curriculum waka. In data collection researchers used interviewing, observation, documentation techniques. This research analyzes data with the process of data reduction, data presentation, and conclusion drawing. The results of the study showed 1) Preparation of learning media using informatics technology, namely inventorying media equipment used and evaluating media with English vocabulary material. 2) The implementation of learning media using information technology, namely the teacher displays vocabulary material that is packaged in the form of videos, images and song lyrics that are displayed on the projector screen and students identify English vocabulary 3) Evaluation of learning media using informatics technology, namely by observing student activity in the learning process , and how students identify English texts and see the results of student learning scores. This study shows an increase in the ability of students to understand English vocabulary material by using information technology media compared to not previously using information technology.
Hacked but Don’t Know It

This chapter discusses cybersecurity in an era when everyone is constantly using the Internet. It highlights the importance of research to ensure that information stays safe while users are on the Internet. Artificial intelligence and machine learning are proposed as possible avenues to securing cyberspace. However, much is still unknown, and collaboration among individuals in different fields is important to advance the research in cybersecurity. The author calls for greater investment in the training of future cyberpractitioners at all levels of expertise.
Preparing the Examiner’s Manual

The manual functions as a learning tool and continual reference for users The manual will be much easier to construct if an organizational system is implemented early on in the test development process. The manual will need to be “user friendly,” easy to read and understand by the audience targeted. Content areas or “chapters” frequently found in test manuals are elaborated below as guidelines for structuring important information that users will need to evaluate and administer the test. The preparation of the examiner’s manual is a component of test development and as such, requires the same attention to planning and detail as all other phases of the process. The years of hard work that are involved in the development of a norm-referenced standardized test merit a clearly written, well-organized and comprehensive examiner’s manual to reflect the quality of the test.
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The purpose of this research was to reveal various characteristics of indirect quotative constructions which were used in Korean language education...
Research Based on Improving PCA Face Recognition

The Principal Component Analysis (PCA) algorithm is widely used in the field of face recognition because of its high recognition rate and simplicity. The PCA algorithm is based on the principle of Karhunen-Loeve Transformation, because the PCA algorithm is sensitive to outliers, it is improved on the basis of PCA algorithm, combined with Linear Discriminant Analysis (LDA) algorithm, the PCA-LDA face recognition method is proposed. This method obtains the feature space of training sample set by PCA algorithm, On this basis, the LDA algorithm is executed to obtain the feature space of fusion. The PCA is then fused with the LDA's feature space to obtain the new feature space that combines the two. Finally, the face projected in the new feature space is trained and recognized. The experimental results show that the face recognition algorithm proposed in this paper has a higher recognition rate than the traditional PCA algorithm.