Reviewerly/exHarmony huggingface dataset:
중국인 학습자의 한국어 자음 음운 규칙 습득 양상 연구 -동일 학습자의 숙달도 변화를 중심으로-

The main purpose of this study is to analyze the Chinese learner’s acquisition of Korean phonological rules which is concerned with consonant. The learner approached to higher level pronounces L2 more fluently than the lower level’s learner generally. However, some phonological rules cannot be applied well even in the case of higher level’s learner. In this study, we researched specific group which is constituted by Chinese learners who attend for the completion of entry level. As a result of the research, the most difficult rule for the Chinese learners is liquidization. And also Chinese learners struggle with the applications of ‘ㄹ’ nasalization and general nasalization. Representing ‘ㄹ’ nasalization and general nasalization, especially, the learners who have not low proficiency anymore cannot depart easily from entry level due to the errors caused by imprecise place of articulation. In terms of the place of articulation, peripheral consonants cause difficulty to representing ‘ㄹ’ nasalization and general nasalization. Among the peripheral consonants, the bilabial ‘ㅂ’ is the most difficult element that interrupts the application of ‘ㄹ’ nasalization and general nasalization.
Genetic based method for Mining Association Rules from Text

In general, text mining is the process of discovering very important and unknown information from a semi-structured or unstructured data set, while data mining deals with structured data. Where natural language processing technology was used: coding, stop word deletion, derivation and indexing of the document, convert text into structured form, and in order to extract correlation rules, we used the genetic algorithm (GA) to solve the correlation rule problem by overcoming the limitations of using the priori algorithm (a coding system, storage capacity). Were the estimates are based or based on a recommendation to use the individual variable length within the population. The rules for extracted relationships contain the essential features included in a document compilation. The proposed system aims to solve the problems facing traditional techniques as it works to address two main issues: Computational complexity, where the number of rules increases greatly with the number of elements in the database. Second, the rules related to interests must be collected within the place of creation of the rules that usually suggest a higher algorithm. The use of a genetic algorithm to find a relationship in the unorganized document between keywords is powerful and very effective in solving this problem because it effectively cuts the search space for threshold based consistency measurements.
Design and Development of a hybrid approach using Ant Colony Optimization and Best Fit Optimization algorithms for energy consumption in cloud data centres

Cloud computing has gained an essential role in scientific application on demand facility of virtualized resources is offered as a service with the use of virtualization without any extra waiting time. The applications of cloud consume huge amount of energy and thereby contribute to greater costs of operation and also impact the surroundings by emission of carbon. Cloud computing is developing as a platform of next generation which would ease user on pay as you use model as per the need. Cloud involves virtual machines set which consist similar computation facility and Storage.With the increasing popularity and demand of big scale cloud data centre it has become essential to allocate resources in such a way that not only leads to effective use of resources as well as reduces the consumption of energy. The cloud data centres are the strength of nowadays demanding information technology infrastructure there is an essential requirement to develop its effectiveness. The services of cloud computing are gaining familiarity nowadays and it is expected that the organizations will migrate from building and owing their own systems to rent the services of cloud computing because the services of cloud computing are simple to use and can decrease both the environmental loads and business costs. The environment of cloud computing needs huge number of information and communication technology equipment such as storage devices, servers, client terminals and communication network devices. The consumption of energy is decreased for issues of job scheduling based on constraint of make span which in turn leads to essential reduction in cost of energy. There is a raise in complexity for scheduling issues primarily because the application is not based on make span constraint. The main purpose of the study is to develop a hybrid algorithm using Ant Colony Optimization and Best Fit Optimization algorithm for energy consumption in cloud data center based on meta heuristic approach.
Alternative Variables for Geography and Institutional Structure: European Colonies and an Evaluation of sub-Saharan African Countries

To explain the main reasons for the differences in economic development among countries, in the main model of this study, we use the malaria index as an instrumental variable to describe the sub-Saharan African countries. In addition, we use the indigenous population density in 1500 and the settler mortality rate as substitutes for each other in different model identifications to demonstrate the settlement conditions in the former European colonial countries, and we use the identity of colonizers to explain today's institutional performance. According to the main model, where we use the two-stage least squares method, the geography of sub-Saharan Africa and institutional structure determine the differences in economic development significantly. In both cases, the coefficients of these variables remain statistically significant, despite minor changes. In addition, estimates of coefficients are the most unbiased estimators among studies using a similar sample. The results of the main model also remained unchanged despite the alternative measures of institutional structure and geography.
TEKNIK VISUALISASI PADA DOKUMENTER “KAMPUNG LAYANG-LAYANG” SEBAGAI POTRET KEARIFAN LOKAL DESA CIPACING KABUPATEN SUMEDANG

Cipacing Village is a village in the Jatinangor District Area. The location is in the northwestern part of the Jatinangor District Area and directly adjacent to the Bandung Regency area in the village of Cileunyi Wetan. The area is passed by the national road that connects the city of Bandung with the Garut or Tasik malaya regions. In the current era of globalization, which is marked by the rapid development of science and technology, competition in various fields can affect the existence of a company, so that it encourages every company to think of the steps that must be taken to maintain its existence. At the moment the kite craftsmen and entrepreneurs in Cipacing Village have decreased, various aspects which have influenced the decline in the number of craftsmen, such as youth in Cipacing Village are no longer interested in becoming craftsmen, also the difficulty of raw materials and the waning of children's interest in traditional games. Children are now more interested in modern games such as online games, Playstation, and gadgets. In making this work the creator will take on the role of director through this director's role, the creator of the work will be able to visualize the story, then develop it as a production. The purpose of making this documentary work is, the creator wants to provide information to the audience able to provide an understanding for the audience to be more concerned with traditional games and still preserve them. The creator as director packaged this documentary by directing technique. By technique, the storytellers in this documentary are statements from the speakers. And in the end, this documentary work is expected to be able to be an inspiration for people who have similar problems in other areas.
한국어 학습자의 연어 사용 연구 -모국어 화자와의 비교를 중심으로-

This study aims to identify the use of collocation by Korean language learners as a foreign language and to compare it with that of native speakers. The collocation learning is very important for middle and high level learners, and it is said that strengthening collocation is more important to improving vocabulary than learning low frequency vocabulary. The goal of the collocation study for learners is to identify which collocation learners typically struggle with and which are not, to identify factors that are causing difficulties in using collocation, and to analyze learner strategies to overcome these difficulties. Make suggestions for collocation education. For this purpose, this paper attempts to identify the differences in usage patterns by comparing the learner’s collocation with the native speaker’s collocation. This study is a large-scale corpus-based data analysis study, and unlike previous studies, it is meaningful to quantitatively compare data between learners and native speakers. Of course, there has been no previous study comparing the native speaker’s data, but it has been conducted with a few words or limited to special expressions. Overseas, the comparison between the native language speaker and learner’s multilingual items is mainly done by formal expressions, and it is not clear that the actual use of collocation is precise. The purpose of this study was to demonstrate the lexical teddy bear effect through the distribution of collocation on the corpus. The lexical teddy bear effect is when learners try to avoid risk taking new ones. In addition, the collocation frequency of the important vocabulary calculated through this study can be used as an important learning mechanism by itself, and the hierarchical collocation list can be hierarchized.(Yonsei University)
Critical Thinking as a Basis for Formation of Self Development Competence

In the process of globalization, there is an opinion on the role of competent personnel in the development of Education, Science and scientific and technical spheres, consistent implementation of future teachers' professional skills to educational processes through critical thinking of the formation of self-development competency, harmonization of professional skills with personality qualities
LibGuides: Academic Impressions: Home

How to access Academic Impressions, a platform which offers skills-based trainings for professionals in all areas of higher education.
Topic modeling and sentimental analysis of tweets on COVID19 to find the weightage of the popular hashtag

The Hashtags plays a vital role in the social media and it is easily highlighted by each and every people when they tag it for their own views. Marketing and advertisement is booming so that to make their products work through the views of the normal or common people. Sometimes they use the false content for their publicity and misleading the people. In this paper, the covid19 tweets are taken for finding out the popular hashtags using the correlation techniques like pearson, spearman and kendall rank correlation. The Covid19 hashtag is more popular with the correlation coefficient and sentimental analysis of the tweet than coronovirus tag. To justify the popularity, the weightage’s of the hashtag is found out by applying the topic modeling. In that the coronovirus tag is having more weightage than Covid19 tag. © 2021 Karadeniz Technical University. All rights reserved.
Importance Of Economic Literacy In Digital Economy

This article observes importance of economic literacy and how it influences to countries well-being during digital economy. The basis of financial education should be started from the earliest step of education and this process have continuing tendency. Changes in educational system of the country should include financial education as inseparable part of educational process.
Classroom Roll-Call System Based on ResNet Networks

A convolution neural networks (CNNs) has demonstrated outstanding performance compared to other algorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers have proposed a residual network to ease the training for recognition accuracy improvement. In this study, a novel face recognition model based on game theory for call-over in the classroom was proposed. In the proposed scheme, an image with multiple faces was used as input, and the residual network identified each face with a confidence score to form a list of student identities. Face tracking of the same identity or low confidence were determined to be the optimisation objective, with the game participants set formed from the student identity list. Game theory optimises the authentication strategy according to the confidence value and identity set to improve recognition accuracy. We observed that there exists an optimal mapping relation between face and identity to avoid multiple faces associated with one identity in the proposed scheme and that the proposed game-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.
A Study on Image Compression Technology

This paper presents the effective comparative study of lossless and lossy color image compression technique based on Huffman encoding. Image compression is an application of data compression that encodes the original image with few bits. The growth of multimedia technology, if fetches to consent about to storage and bandwidth of image transmission. The image is transformed into the corresponding frequency domain then the frequency samples in the domain are quantized by the JPEG (Joint Photographic Expert Group) standard quantization table and produces the bit stream. The resultant bit streams are encoded by Huffman encoding method. The encoded bits are considered as a compressed image which is reduced the size of an original image. This study paper has been compared the efficiency of JPEG and JPEG2000. From the studied metrics of Compression Ratio and Quality of reconstructed image we concluded that the JPEG2000 is efficiency better than the JPEG.
현대 한국불교의 세속화와 탈세속화

This study aims to diagnose the secularization of modern Korean Buddhism in terms of the Buddhist monks’ values, the management of the community of saṃgha, and the legal system of the Buddhist order, and to suggest methods for desecularization in each area. In modern society, the Buddhist monks’ values are becoming materialistic like those of secular people. The management of the saṃgha is becoming politicized and commercialized like a secular organization, and the legal system of the Buddhist order imitates social legislation. This study suggests the following methods for desecularization: in the Buddhist monks’ values, the education of the saṃgha, a daily living environment for Buddhist monks, and the guidance of the preceptors have to be unified in order to see people’s true natures and awaken people to the way. Moreover, in the management of the community of saṃgha, lay Buddhists must take their place as the main agents of managing the system of the Buddhist community so that Buddhist monks can devote themselves to Buddhist practice and missionary work. In the legal system of the Buddhist order, it is necessary to abolish the secular democratic system of elections and adopt a Buddhist democratic system known as karman(kalma 羯磨).
소년보호관찰의 현황과 활성화 방안

It has been thirty years since the probation system, the “highlight of the modern criminal justice policy,”was implemented in Korea. Probation is a typical type of in-community disposition, a more humanitarian manner of processing criminal individuals within a community. With a significantly lower cost compared to institutionalization, probation is assessed to be effective in rehabilitation and prevention of relapse into offense. There were 270,000 people under probation in 2018, and the probation system has in effect become the lynchpin of criminal justice disposition in Korea.Meanwhile, juvenile probation is an advanced criminal justice policy which supervises and directs delinquent or criminal juveniles to comply with legal requirements, with a goal of reducing criminal tendencies in such individuals.Despite such growth, development, and elevation of the probation system, there have been multiple criticisms. The gist of such critical opinions concerns the practical value of the system. Based on this sense of problem, the current study focuses on the operation of juvenile probation system to discover issues and explore ways to vitality it.This line of research will expand the professional understanding of juvenile probation practices and enhance the overall operation of the policy.
Triggering an Unexpected Earthquake in an Uncoupled Subduction Zone

&amp;lt;p&amp;gt;In the 1970&amp;amp;#8217;s, the Shumagin Islands region of the Alaska subduction zone was identified as a seismic gap expected to host a future great (Mw &amp;gt;8.0) earthquake. More recent geodetic data indicate this region is poorly coupled, and the geologic record shows little evidence of past large events - leading to current thinking of the &amp;amp;#8220;Shumagin Gap&amp;amp;#8221; as a region of low seismic hazard. From July to October 2020 (with aftershocks continuing through the time of this abstract submission in January), a series of earthquakes occurred in this region, potentially incompatible with this low-coupling interpretation. The initial Mw 7.8 plate interface thrust faulting earthquake on July 21st straddled the eastern edge of the Shumagin Gap, followed by an Mw 7.6 strike-slip earthquake on October 19th within the slab under the eastern side of the Shumagin Gap. Stress modeling indicates that this strike-slip earthquake is in fact favored if the Shumagin Gap has low coupling, whereas a highly coupled Shumagin Gap would inhibit that type and location of earthquake. The initial thrust earthquake and its afterslip significantly enhanced the strike-slip stress loading within the subducting slab, helping to trigger that event. We find that although regions such as the Shumagin Gap have a low seismogenic potential for plate interface thrusting, the existence of this decoupled region increases the potential for intra-plate strike-slip faulting in association with more typical subduction earthquakes on adjacent coupled segments of the plate boundary. Therefore, the seismic and tsunami potential near these uncoupled regions might be greater than previously thought.&amp;lt;/p&amp;gt;
Implementasi Algoritma C4.5 Untuk Mengukur Tingkat Kepuasan BPJS Keternaga Kerjaan

BPJS Employment (Managing Social Security Agency) is a form of public service. Efforts in improving services need to have benchmarks on the level of participant satisfaction both in terms of tangibles, reliability. Responsiveness, assurance and empathy. Based on the research and the problem, a research about participant satisfaction was conducted. Participants are given a questionnaire which will be processed using the C45 For this reason, it is necessary to evaluate the participant's side to find out whether the participant is satisfied or not satisfied with the services provided. Seeing the problems above, a research will be conducted with the title Data mining to measure the level of satisfaction of BPJS Employee participants using the C45 algorithm. The purpose of this study is to find out whether BPJS Employment has provided quality services that are in line with participants' expectations.
Autopilot construction in the longitudinal and transverse sections of a plane using adaptive

In this research, a simulation model of a non-linear model for unmanned neural vehicles is developed using Airsim (simulator via an open-source platform for drones and ground vehicles ). The non-linear model of the vehicle is approximated as a linear model with a balance point in the first stage. With this model, a conventional controller is designed to have longitudinal and transverse sections, and this controller is added to the non-linear model. Then, a neural network is  introduced to the traditional controller to perform the error compensation process after the approximation of the non-linear model with a linear model. The calculated results from the neural network that depended upon the  error process are added to the results that obtained from the non-Linear model and the linear model to the conventional microcontroller. Results show that the adaptive controller could achieve stability for the system for a wide range of aviation envelope. Thus, the use of an adaptive controller that consists  of  a traditional controller and a neurological compensator can compensate for  various disorders that may occur in vehicles, such as changes in altitude, direction and pressure disturbance .
Research Guides: PRAXIS Core and PRAXIS II Resources: College of Education Support

This guide is designed to provide test-taking resources, specifically for the College of Education. It includes PRAXIS resources and strategies to help students from the College of Education be successful when taking required assessments.
LibGuides: Doing Research with Primary Sources: Getting Started

This LibGuide provides information about preparing for and conducting research using a variety of primary source types.
Nanophotonic quantum interface and transportable entanglement for atom arrays

The realization of an efficient quantum optical interface for multi-qubit systems is an outstanding challenge in science and engineering. We demonstrate a method for interfacing neutral atom arrays with optical photons. In our approach, atomic qubits trapped in individually controlled optical tweezers are moved in and out of the near-field of a nanofabricated photonic crystal cavity. With this platform, we demonstrate full quantum control, efficient quantum non-destructive readout, and entanglement of atom pairs strongly coupled to the cavity. By encoding the qubits into long-lived states and employing dynamical decoupling, the entangled state is verified in free space after being transported away from the cavity. The combination of a compact, integrated optical link and entanglement transport paves the way for quantum networking with neutral atom quantum processors.
EXTRACTION OF INFORMATION FROM NOISY BACKGROUND USING SIGNAL PROCESSING

In the current situation, we deal with various forms of noise in image processing, which not only degrade image quality but also hinders useful information stored in an image. Noises degrade images often. During image capture, transmission, and other processes, noise may occur and be acquired. In image processing, noise reduction is a crucial step. Imaging sensing element output is influenced by a range of factors, including the environment throughout image capture and therefore the competence of the sensing parts. In colour image processing, many noise reduction techniques are well-established. The type of noise that is corrupting the picture determines the essence of the noise removal dilemma. Several linear and nonlinear filtering approaches have been proposed in the field of image noise reduction. We present a brief summary of various removal noise models in this paper. The source of these noise removal models can be used to pick them. The results of various filtering techniques are presented in this paper, and the results of these techniques are compared.