Reviewerly/exHarmony huggingface dataset:
전시산업을 통한 남북한 교류촉진에 관한 연구 - 독일의 사례를 중심으로 -

This study shows that the exhibition industry can have an effect on the exchange and cooperation between the two Koreas. Through the case of German unification, we find out how to cooperate each other. The main purpose of the study is to analyze the current status of exchange and cooperation between the two Koreas and to analyze the role of the exhibition industry in the unification case of Germany, and to derive the measures applicable to the two Koreas. For inter-Korean exchange and cooperation, the first is to change the viewpoint of North Korea's MICE by creating new values. Second, the inter-Korean contacts should be expanded. Third, North Korea should try to understand the MICE industry.
IMPLEMENTATION OF OPTICAL CHARACTER RECOGNITION (OCR) SYSTEM FOR CAMERABASED HANDHELD DEVICES

This paper presents a writing survey on English OCR methods. English OCR framework is necessary to change over various distributed books of English into editable PC text documents. Most recent examination in this space has had the option to develop some new systems to beat the intricacy of English composing style. Still these calculations have not been tried for complete characters of English Alphabet. Consequently, a framework is required which can deal with all classes of English content and recognize characters among these classes.
Profil Meningioma Intrakranial Di Rsud Arifin Achmad Provinsi Riau Periode Januari 2016-Desember 2019

Meningioma is an extra axial primary brain tumor, that occurs outside thebrain parenchyme tissue, originate from arachnoid cap cells. This study wasconducted to know the profile of intracranial meningioma at Arifin AchmadGeneral Hospital Riau Province period January 2016-December 2019. We useddescriptive retrospective study from anatomic pathology laboratorium archieve,and medical record archieve since January 2016-December 2019. There were 87patients diagnosed by intracranial meningioma since January 2016 untilDecember 2019. The study showed that patients of meningioma were mostly atranged 40-49 years (48,3%) and dominantly female (89,7%). Headache wasreported as the highest clinical symptom (75,9%), with the most meningioma werefound in sphenoid wing region (33,3%). Based on World Health Organization wefound first grade is most common (88,5%), which dominantly type of meningiomawas meningothelial meningioma (55.2%). The length of stay of meningiomapatients in one treatment period was more than 7 days (63,2%).Keywords: Histophatology, Meningioma, Profile.
STUDI PERAN SISTEM INFORMASI AKUNTANSI PENJUALAN PADA USAHA KECIL MENENGAH

Sales activity is an important activity for the survival of the company, including SMEs. Factors that can affect the level of sales of a company include consumer needs, product competition, economic conditions, and product marketing, so that good administrative management is needed, one of which is recording sales quickly and effectively in order to produce informative sales reports for management.This study aims to analyze sales accounting information procedures at PT. Jagorawi Motor Bangka Belitung, using the descriptive-analytic method. The study concluded that PT. Jagorawi Motor has carried out sales accounting information procedures well and also involved several parts in sales accounting information procedures which are almost the same as the literature. It's just that this process in the literature is explained directly by function, but in companies, it is more detailed by involving its parts and functions. The recommendation from the study is that the section related to sales accounting information procedures maintain good procedures and can improve internet connections so that there are no interruptions when inputting data.
Kepuasan Pasien terhadap Aplikasi Pendaftaran Online Menggunakan Metode EUCS (End User Computing Satisfaction) di RSUP Fatmawati

Online registration is one application that can reduce queues at the hospital. However, its application must meet the standards so that patients are satisfied with the online registration application. This research was conducted to determine the description of patient satisfaction with online registration applications using end user computing statisfaction. Samples obtained in this study were 73 respondents taken by incidental sampling. The design of this study is cross sectional where research is only measured one time to find out the picture of satisfaction. The level of patient satisfaction is measured using the EUCS (End User Computing Statisfaction) model which consists of five components namely content, accuracy, format, ease of use and timeliness. Data in this study were obtained from questionnaires to patients or families of patients who registered through the online registration application. The results showed that of 73 respondents 45 respondents (61,6%) were dissatisfied and 28 respondents (38,4%) were satisfied. This study concludes that there are still many patients or users who feel unsatisfied with the online registration application. Suggestions aimed at online registration applications are to design the interface on the application so that it is more user friendly, reducing errors during data processing, updating the doctor's schedule, speeding up access when registering online and speeding up the process of downloading barcodes on the online registration application. Keywords: Online registration, satisfaction, content, accuracy, format, ease of use and timeliness.
APLIKASI PEMESANAN TIKET SPEED BOAT CV.ABY EXPRESS DESA SUNGAI ITIK KECEMATAN SADU KABUPATEN TANJUNG JABUNG TIMUR

This study uses a qualitative research method with a design and creation strategy while the data collection methods used are observation, literature study, interviews. The design method uses the Unified Modeling Language (UML). The analysis carried out includes analysis of the ongoing system, analysis of the proposed system. This system includes several contents, namely homepage, adminstarator login, ticket sales, departure schedules, buying tickets, checking tickets, transactions. The results of this system test concluded that the expected functions were all successful as desired. In conclusion, making this advertising system can greatly help the parties involved, including company owners who advertise, can properly organize speed ticket bookingsonline through the website, and speed boat ticket seekers with general public status can search according to their needs.
Convergence in Human Development across Districts of Pakistan: Evidence from Club Convergence Test

Studies on the convergence club have become a focal point in economic growth and development literature over the last three decades.This paper analyzes the club convergence hypothesis going beyond the traditional use of GDP per capita.It examines the convergence club of 97 Pakistani districts over the period 2004-20015.The analysis is based on an augmented index for measuring development through convergence and the clustering method of Phillips and Sul (2007).The index consists of 3 sub-indices of education, health, and household welfare level, with each index further composed of 5 indicators.The Principal Component Analysis (PCA) is used to aggregate these indicators to get sub-indices and a final development index.Results of the study indicate that the districts do not converge to the same long-run equilibrium.Instead of overall convergence, we find eleven convergence clubs and one non-convergent group for human development.The existence of clubs means that measures aimed at reducing disparities in human development and promoting regional growth should consider the specific characteristics revealed in the convergence analyses.Spatial differences thus need to be addressed mainly through pro-poor regional policies.
Korpus hrvatskih novinskih portala ENGRI

The Corpus of Croatian news portals ENGRI was compiled for the purpose of scientific research project titled English words in Croatian: identification, affective-semantic norming and investigation into cognitive processing via behavioural and neuroscientific methods, financed by the Croatian science foundation. Web browsing and web crawling (cf. Fletcher, 2011) will be used to select and store texts from the most popular webpages in Croatia in the period from 2014 to 2020. According to Reuters Institute Digital News Report for 2018 (retrieved from http://www.digitalnewsreport.org in April, 2019), the twelve most popular webpages/portals in the Republic of Croatia are: Telegram, 24sata, Direktno, Dnevno, Net Hr, Hrt, Index_Hr, Jutarnji, Novilist, Rtl, SlobodnaDalmacija, Vecernji. Tportal, Dnevnik and Local Radio news online are also among the popular webpages. The first two web sources will not be included due to the complexity of data extraction procedures required, while the last one is not available under the above-mentioned name. The intention was to make to corpus publicly available.
DEEP LEARNING BASED CONVOLUTIONAL NEURAL NETWORK FOR HANDWRITING RECOGNITION

Handwriting is a taught skill that has been used for thousands of years as a way of communication and recording. Natural handwriting is a fairly simple way for computers and humans to exchange information. Because of their complex typing nature, it is difficult to input data for computers using Indian language scripts.This research investigates the use of convolutional neural networks based on deep learning for the recognition of handwritten script. The proposed technique has demonstrated 75 percent recognition accuracy on average for handwritten English numerals and shows promise for Kannada numerals.
Thermo-optic Mach–Zehnder Interferometer Integrated with Si PN Diode Switch for Bipolar Optical Phase Control

We demonstrated the bipolar phase control in Mach–Zehnder interferometer by serial connection of TiN heaters and PN diodes. We achieved 2π phase shift with single electrical signal, and pulse amplitude modulation for time-multiplexed control.
CLASSIFICATION OF HOSPITAL SERVICE PERFORMANCE QUARTERLY IN CENTRAL JAVA IN 2020 USING THE KNN METHOD

One of the most important health service institutions for citizen in every country is hospital. In order to evaluate the performance of hospital services, an indicator is needed to identify whether a hospital provides services well or not. The Ministry of Health determined standard for reviewing hospital performance as an indicator so health services evaluate themselves and can be improved in the future. There are several types of indicators given by Ministry of Health. Written in Pemenkes, there are 21 types of performance and 107 indicators. For this research, this research will use hospital inpatient indicator with 5 indicators.  To calculate performance indicators, it is necessary to collect data and monitor in a hospital. By using the K-Nearest-Neighbors (k-NN) method, we can identify how the services provided by a certain hospital. This method is a method for classification with dependence on the choice of good value for k. The output of this data mining can be used to identify whether the hospital fulfill the service standards set by the Ministry of Health in Indonesia or not. Based on the calculation in R, this research shows the output is the same as the original data. It means this method can be applied effectively in determining the quality of hospital services.
Inovasi Pengolahan Limbah Cair Batik dengan IPAL Ekonomis di Desa Maos Kidul Cilacap

Wastewater resulted from the batik dying process is known for its environmentally hazardous substances including hazardous natural and synthetic organic matter, suspended particles, and hazardous metal. But in the micro and medium scale batik textile business, wastewater treatment is mostly not carried because it does not give benefit for the owner. Economical wastewater treatment constructions can be an alternative for the business owner for their free operational cost. Batik wastewater treatment ought to be carried out to meet government standards but most importantly to decrease hazardous pollutant’s concentrations so it does not harm the environment. This society service project aims to provide alternatively economical wastewater treatment for batik business owners by applying simples and cheapest yet effective treatment methods to reduce pollutant concentrations in wastewater. Methods applied in this project including sedimentation, filtration, and landfill-bioremediation. The laboratorium analysis result shows that sedimentation and filtration are significantly reduced total suspended solid particles in wastewater from 2450 to 100 mg/L in line with wastewater decoloring from dark blue to clear yellow.
A Framework for Multi-View Classification of Features.

One of the most important problems in the field of pattern recognition is data classification. Due to the increasing development of technologies introduced in the field of data classification, some of the solutions are still open and need more research. One of the challenging problems in this area is the curse of dimensionality of the feature set of the data classification problem. In solving the data classification problems, when the feature set is too large, typical approaches will not be able to solve the problem. In this case, an approach can be used to partition the feature set into multiple feature sub-sets so that the data classification problem is solved for each of the feature subsets and finally using the ensemble classification, the classification is applied to the entire feature set. In the above-mentioned approach, the partitioning of feature set into feature sub-sets is still an interesting area in the literature of this field. In this research, an innovative framework for multi-view ensemble classification, inspired by the problem of object recognition in the multiple views theory of humans, is proposed. In this method, at first, the collaboration values between the features is calculated using a criterion called the features collaboration criterion. Then, the collaboration graph is formed based on the calculated collaboration values. In the next step, using the community detection method, graph communities are found. The communities are considered as the problem views and the different base classifiers are trained for different views using the views corresponding training data. The multi-view ensemble classifier is then formed by a combination of base classifiers based on the AdaBoost algorithm. The simulation results of the proposed method on the real and synthetic datasets show that the proposed method increases the classification accuracy.
Spatio-Temporal Human Action Recognition Modelwith Flexible-interval  Sampling and Normalization

Human action recognition is a well-known computer vision and pattern recognition task of identifying which action a man is actually doing. Extracting the keypoint information of a single human with both spatial and temporal features of action sequences plays an essential role to accomplish the task.In this paper, we propose a human action system for Red-Green-Blue(RGB) input video with our own designed module. Based on the efficient Gated Recurrent Unit(GRU) for spatio-temporal feature extraction, we add another sampling module and normalization module to improve the performance of the model in order to recognize the human actions. Furthermore, we build a novel dataset with a similar background and discriminative actions for both human keypoint prediction and behavior recognition. To get a better result, we retrain the pose model with our new dataset to get better performance. Experimental results demonstrate the effectiveness of the proposed model on our own human behavior recognition dataset and some public datasets.
K-MEANS AND K-MEDOID ALGORITHM APPLICATION IN CLUSTERING STOCK DATA IN INDONESIA

Stock or share is a sign of a person's or a business party's capital participation in a company. In the context of stock, the meaning of investment itself is an activity of investing funds or capital in a company. The investment is expected to generate profits and not vice versa, therefore a good consideration is needed in the selection of the company's shares to be purchased. Parameters that can be used as the basis for consideration are the level of volatility, liquidity, and also market capitalization. Volatility is an indicator of the rate of change in stock prices that implies the risk of how the stock market price moves. The greater the level of volatility, the greater the risk of the stock market. Liquidity is an indicator of how easy the shares are to be sell and purchased without affecting the asset price. Meanwhile, stocks with high market capitalization will be difficult to play with. Therefore we need to know the characteristics of stocks before investing our fund. The results of data clustering using K-Means and K-Medoid help us to understand the characteristics of stocks. With the effectiveness of the clustering algorithm, we can see the characteristics of stocks, from those with a high risk, high level of liquidity, and also could calculate the average market capitalization in the clustering result for each cluster. The results of this analysis can be the basis for good stock selection, based on the stock historical data.
몽골인 한국어 초급 학습자 말하기 오류 분석

This research study aims at revealing the cause of Korean language speaking errors of basic Korean language learners of Mongolia by check ing those. The subject of research study were 40 Mongolian students in total including 20 Mongolian students studying at the department of Korean language studies of the University of Humanities in Mongolia and 20 Mongolian students studying at the college of law of the National University of Mongolia. In the research study, 1,300 sentences in Korean language set questioned to freshmen of these two universities in midterm and final exams for the past 2 years were analyzed. These Univ. students don’t get used to Korean pronunciation and grammar since they’ve just got the feel of Korean alphabet. So, they are actually basic Korean language learners of Mongolia now studying the system and structure of the Korean language. Focusing on the form of the Korean language, errors were limited only to those per category, that is, grammatical errors, vocabulary errors, and pronunciation errors. First of all, in pronunciation errors, they made errors mainly in flat sounds most difficult for them to pronounce, and then, fortis sounds, monophthong ‘으’, and fricative sounds respectively. Also, although the final endings in interrogative and exclamatory Korean language sentences have the rising stress and intonation, many basic Korean language learners of Mongolia generally made pronunciation errors, pronouncing not rising tone but flat sounds just like they’ve done in declarative sentences since they are stuck in a rut as they’ve done in their own mother tongue as ever. Secondly, in grammatical errors, they made many errors such as omission of postpositional particle for nominative, replacement of postpositional particles which indicate the case, and location of cardinal and ordinal numbers in Korean language sentences. This is also mainly due to the expressions of their own mother tongue. In addition, they made many errors mainly in honorific expression in Korean language. This is also mainly due to the lack of understanding the Korean language. It was difficult for them to use the Korean expressions since they are stuck in a rut as they’ve done in their own mother tongue as ever, and honorific final endings and honorific postpositional particles are not generally used in Mongolian language. Finally, in vocabulary errors, they made errors just mainly related to similarities in meaning and in form. The analysis of this research study is limited to the category of check ing, revealing and explaining the cause of Korean language speaking errors of basic Korean language learners of Mongolia. The following research study, to decrease such errors in the future, suggest teaching alternative for efficient study, and continue research study for effective application of educational method, shall be a challenge awaiting solution to be solved.
Солонгос дахь Монгол Жангарын туулийн судалгааны өнөөгийн байдал, хэтийн төлөв－20-р зууны эхэн үеэс 2021 он хүртэл－

Based on the long-term cultural relations between Mongolia and Korea, based on the mythical and culturally friendly relations between the two countries, a certain amount of interest and research has been conducted on Mongolian heroic epics such as “Jangar” and “Geser” in Mongolian folklore. Especially in recent years, the understanding of the common cultural environment of Northeast Asia has been expanding, and the initiative to study Mongolian myths and epics has been gradually increasing. Like Jangar and Geser, the study of Mongolian epics continues to be of great importance in the field of Korean comparative mythology.The main purpose of the study of Mongolian nomadic epics in Korea is to re-emphasize the importance of cultural values in the context of comparative studies of modern culture. Therefore, Korean scholars emphasize that the Mongolian epic is the content of a future-oriented cultural archetype, which can be used as a rich and diverse material in the genre of Asian and world cultural content.The comparative study of genre of oral narrative literature such as Mongolian heroic epic, which was mainly understood as an archetype of regional culture theory in Korea’s early comparative mythology, is still a major academic field even in the Neo-Northern era. It is recognized as a major field of understanding the neo-regional culture Identity.
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation

We propose a novel video frame interpolation algorithm based on asymmetric bilateral motion estimation (ABME), which synthesizes an intermediate frame between two input frames. First, we predict symmetric bilateral motion fields to interpolate an anchor frame. Second, we estimate asymmetric bilateral motions fields from the anchor frame to the input frames. Third, we use the asymmetric fields to warp the input frames backward and reconstruct the intermediate frame. Last, to refine the intermediate frame, we develop a new synthesis network that generates a set of dynamic filters and a residual frame using local and global information. Experimental results show that the proposed algorithm achieves excellent performance on various datasets. The source codes and pretrained models are available at https://github.com/JunHeum/ABME.
Incorporating Typological Features into Language Selection for Multilingual Neural Machine Translation

In this paper, we propose to use rich semantic and typological information of languages to improve the language selection method for multilingual NMT. In particular, we first use a graph-based model to output the most semantic similarity languages; then, a random forest model is built which integrates features such as data size, language family, word formation, morpheme overlap, word order, POS tag and syntax similarity together to predict the final target language(s). Experimental results on several datasets show that our method achieves consistent improvements over existing approaches both on language selection and multilingual NMT.