Reviewerly/exHarmony huggingface dataset:
Multi-scale Non-local Feature Enhancement Network for Robust Small-object Detection

Object detection involves acquiring position information and classification information of objects simultaneously in an image acquired using an image sensor. In general, a small object that occupies a relatively small area within an image is difficult to detect because the information contained in the image is fundamentally inadequate. A person can recognize small objects that are very far away using contextual information, such as the background or relationship with nearby objects. Therefore, it is necessary to enhance the characteristics of small objects using various context information in the image. A new feature enhancement neural network is proposed to enhance the feature maps by extracting the relationships between the non-local features of various sizes. This paper presents an object detection algorithm that is robust against small-object detection based on the feature enhancement neural network. A feature map from the feature-extraction neural network was first branched into multiple feature maps with different receptive fields using respective convolution layers. Non-local relationships between these feature maps were then computed and added to the original feature map for feature enhancement. Finally, the proposed network reflected the overall context information of the image through the enhanced feature map, which is more robust for detecting small objects. The experimental results showed that the proposed method had better performance in small-object detection than the state-of-the-art techniques for the KITTI dataset and PASCAL VOC dataset.
DWORM: A Novel Algorithm To Maintain Large Itemsets in Deleted Items and/or Transactions Databases Without Re-Mining

Transactional databases can be updated by three cases; the addition of new transactions, the deletion of set of transactions, andor increasing or decreasing of the support of the itemsets. The update process affects the previously mined itemsets, some of the large items will be small and vice versa. Therefore the updated database should be re-mined to discover the changes in the hidden itemsets. There are many algorithms to avoid the re-mining process in the case of updating a database by addition and there is one algorithm in case of changing the value of the support. But there is no actual algorithm to avoid the re-mining in the case of deletion. This research presents a novel algorithm to manipulate this case. The proposed algorithm manipulates the three possibilities of the deletion that are deletion of one or more items from a transaction or set of transactions, deletion of a set of transactions, and deletion of items from transactions and deletion of set of transactions at the same time. The experimental result shows that the updating algorithm outperforms the re-mining process in considerable amount of execution time.
A study on the development of Korean learner’s narrative construction abilities: focusing on the narrative structure

이 연구는 한국어 학습자의 이야기 담화에서 한국어 숙달도에 따라 이야기 구조가 어떻게 나타나는지에 대해 살펴보고자 하였다. 이야기는 일상적이고 기본적인 의사소통의 한 유형으로 초급 한국어 학습자에게도 아주 친숙한 장르이다. 이러한 이야기가 초급, 중급, 고급 수준의 한국어 학습자의 자료에서는 어떻게 나타나는지 분석 기준을 ‘장면 설정, 사건, 내적 반응, 목표, 시도, 결과, 결말, 논평’으로 나누어 살펴보았다. 한국어 학습자를 수준별로, 그리고 한국인 대학생과 집단별로 비교한 결과, 경험 이야기와 감상 이야기 자료 모두, ‘논평과 사건’ 위주로 기술되는 것을 알 수 있었다. 그러나 초급 수준의 학습자는 중급, 고급 수준의 한국어 학습자와 달리 서술자의 의도와 전략에 따라 세부 정보를 기술하지 못하고, 중심 사건만 기술하였다. 그리고 한국어 수준이 높아질수록 ‘장면, 사건, 내적 반응, 목표’의 기술량은 줄어드는 반면 ‘논평’은 늘어나면서 한국인 대학생의 이야기 구조에 근접해지는 것을 알 수 있었다. 이러한 연구 결과는 이야기 구조를 활용한 한국어 교수 학습 자료로, 한국어 능력 평가 도구로 활용될 수 있을 것이다.This study aims to analyze the narrative structure of Korean learners according to Korean proficiency. Narratives are a type of everyday basic communication that is familiar to beginner Korean learners. In this study, the structures of beginner, intermediate, and advanced Korean learners’ experience and movie report narratives were examined using eight analysis criteria: setting, events, internal responses, goals, attempts, outcomes, endings, and comments. By comparing the level of Korean learners with that of groups of Korean university students, experience and movie report narratives were found to be mainly described as “comments and events.” However, although beginner level learners could provide detailed information on the central event, they could not describe the intention and strategy of the narrator in detail. Additionally, as the Korean language level increased, ”settings, events, internal responses, and goals” decreased, and they were found to approach the story structure of Korean university students. The results of this study can be used as Korean teaching materials using narrative structures, and as a Korean proficiency evaluation tool.
UIC Security Division took part in the second Swiss Security Network Exercise from 11 – 13 November 2019 in Switzerland – UIC Communications

For the second time, a Security Network Exercise took place from 11 – 13 November 2019 in Switzerland. In the first exercise, in 2014 the partners of Swiss Security Association (SVS) were…
ANALISIS KETERCAPAIAN INDIKATOR STANDAR PROSES PADA MA ADDZURIYATUS SHOLIHIN

ABSTRACTThis article aims to determine the standard of the research process at MAAdzuriyatus Solihin ciparay Bandung. This research is a qualitative research bycollecting data in the form of observation, interviews and documentation. The results ofthis study indicate that the achievement of process standards at MA Adzuriyatus SolihinCiparay Bandung is 91.42% when compared to the entire maximum score that shouldbe achieved in the standard process. This study recommends in-depth. indicators thathave not been achieved optimally, especially school indicators carry out the learningprocess with a maximum of 36 students in the study group and the teacher conducts goodclassroom management with 12 criteria. According to the author, the principal mustconduct an evaluation and supervision of the way to teach in the class, also conducttraining for teachers who have not been able to achieve standard process indicators.Because in learning the class of educators plays an important role in the learningprocess. This is intended to improve the quality of education and satisfaction ofcommunity expectations.Keynotes: process standards, educators, students
Effect Organizational Ambidexterity in achieving high performance Exploratory research in a company the Petroleum Products Distribution Company / Al-Forat Al-Awsat Distribution Corporation / Babel

The research’s aims mainly to study the effect of Organizational Ambidexterity through its dimensions (Optimal Utilization of Available Opportunities, exploring new opportunities, differentiated organizational structure) in achieving high performance through its dimensions (worker participation,  Effective recruitment, intensive training, continuous improvement). The study was conducted on the Petroleum Products Distribution Company / Al-Forat Al-Awsat Distribution Corporation / Babel Branch And based on the importance of the research topic and the importance of the researched company, and the descriptive and analytical approach was adopted, a random sample of (171) individuals from the company was chosen, and the questionnaire was used as a main tool to collect data and information. The research adopted measures developed based on research literature and some previous studies, all of which were subjected to tests of honesty and consistency. In order to achieve the goals of the research, several hypotheses were tested and tested by several statistical means using the ready statistical program, (SPSS var 23). The research concluded that there is an effect relationship of organizational ambidexterity in high performance.
Functional regions detection by walktrap and chains' methods

In this paper, we analyse functional regions by using two graph theoretical methods, walktrap algorithm and chains' approach. The quality of the regionalization procedure is analysed by applying fuzzy set theory. The application for Slovenia shows that walktrap algorithm calculates more self-contained functional regions than chains' approach.
On peer loss: its theory and the applications to the problem of learning with noisy labels

Author(s): Li, Xingyu | Advisor(s): Liu, Yang | Abstract: Peer loss [1] is a new family of loss functions proposed to deal with the problem of learning with noisy labels. It claims to handle a wide range of label noise in binary classification tasks without explicitly estimating the noise rates. Numerical experiments demonstrate the effectiveness of peer loss. However, its extension to the multi-class classification remains unclear, and its working mechanism is not fully understood.In this thesis, we study the theory of peer loss from three distinct perspectives. Follow the original method in [1], we first consider the multi-class extension of peer loss and investigate its noise tolerance properties. From this perspective, we see peer loss as a class of loss functions inspired by the truthful and proper scoring rules in the peer prediction literature. It turns out that this perspective is a static one and cannot provide a satisfactory explanation of how peer loss works in practical training. To gain an intuitive picture of the working mechanism, we further develop a divergence perspective towards peer loss, expressing it as the difference between two KL divergences. Thus, we recognize that peer loss has a built-in regularization effect, encouraging the model to make confident predictions. This regularization effect partially explains why peer loss works well under the label noise, as the existence of noise often blurs the data distribution and makes the resulting model prediction uncertain. Finally, we show that peer loss potentially suggests a new type of risk in decision theory, i.e., the correlation risk. This new perspective helps us to understand better what the model learns when trained with peer loss. To complete the discussion of the correlation risk perspective, we develop a novel method to investigate the training dynamics of peer loss. This dynamical analysis justifies that with peer loss, the resulting model tends to grasp the positive correlations in the training datasets.In addition to the theoretical analysis, we also carry out extensive numerical experiments. Those experiments on benchmark image datasets demonstrate the effectiveness of peer loss on the multi-class classification tasks under a wide range of label noise. Our experiments on the 2-dimension synthetic dataset reveal that the models trained with peer loss tend to produce hard decision boundaries. This phenomenon accords with our theoretical analysis that peer loss encourages the model to make confident predictions.
Research Survey of Data Mining with Processing in Different fields for Next Research Directions

Data mining (DM) is a method used for mines the different category of related data in different research fields. This is a set of different techniques like classification, clustering, prediction, outlier analysis; decision making, regression etc used for gain the knowledge for intelligence computing. In this review, explain the different research papers, architecture with components of DM, processing of DM and applications of DM in various fields for next research directions. Keywords: Data Mining, KDD, Pattern Evaluation, Prediction, Classification, Clustering Cite this Article: Vinay Bhatt, Babita Rani Radwal. Research Survey of Data Mining with Processing in Different fields for Next Research Directions. Journal of Computer Technology & Applications. 2020; 11(2): 5–9p.
Effective Approach Based on Concepts and Concepts Fea-tures Parameters, for Detecting Semantic Web Services

A main challenge arisen regarding the application of web services is the discovery of a suitable web service for different requirements. After the emergence of Semantic Web and then the emergence of Semantic Web Service, discovering the web services became specifi-cally important. The core ontology is a semantic web and may be used to facilitate the pro-cess of the web services discovery. The aim of web service discovery is to seek and find the web services that can meet the needs of the user. The process of web service may include the combination of several web services if a service isn’t solely capable of meeting the user’s needs. Discovering the web service has been considered extensively by the research associations. The techniques provided in this field could be summarized in syntax and semantic categories. In regard to the suggested methods for semantic service, only the inputs and outputs have been considered. This resulted in the service discovery distraction and consequently the de-sired service did not correspond with the user’s request. The algorithm presented in this re-search considers not only the inputs and outputs of the services but also the precondition and its impact and this is a big advantage in relation to the other service discovery algorithm. The efficiency and rate of precision of given algorithm have been evaluated by the third version of the dataset OWLS – TC and compared with three algorithms of the service discovery with a high precision.
Research Guides: Vanderbilt Television News Archive Tutorials : Member Login

A how to guide for account creation, finding content, ordering news episodes or segments, creating a Media Account, and receiving content in the Media Account.
Correlation study between Korean spoken language -oriented activities and ‘Story’ writing skills

본 연구의 목적은 학습자 변인이 전혀 통제되지 않은 유학생 전용 한국어 수업에서 실시한 다양한 구어 중심 활동이 학습자의 쓰기 능력에 어떠한 영향을 미치는지 규명해 봄으로써 학부 한국어 관련 교과목 개발 및 수업 운영에 시사점을 제공하는 데 있다. 이를 위해 여러 유형의 구어 중심 활동으로 교육 내용을 구성한 실제 수업에서 ‘이야기’ 쓰기로 사전·사후 테스트를 실시하여 본고에서 설정한 평가 준거로 두 명의 평가자가 쓰기 결과물을 채점한 후 그 결과를 통계적으로 분석하였다. 분석 결과, 내용 및 과제 수행 영역과 전개 구조 영역에서는 긍정적인 변화가 있었으며 언어 사용 영역에서는 사전 사후 평균 간에 유의미한 차이가 없는 것으로 나타났다. 비교 집단이 없기 때문에 구어 중심 활동이 ‘이야기’ 쓰기 능력 발달에 영향을 미쳤다고 단정할 수 없으나 적어도 중급 수준 이상의 유학생에게서 특정 영역에서의 쓰기 능력 발달을 포착하였다.The purpose of this study is to provide implications for the development of Korean language-related subjects and the operation of classes in an undergraduate department by identifying how the various spoken language-oriented activities conducted in Korean language classes that are not controlled by learners variables. To this end, the results of the scoring were analyzed statistically by pre- and post-testing with writing a “story” in actual classes that were designed to include various types of spoken language-oriented activities. The analysis found that while there were positive changes in terms of content and task performances and of the structure of deployment, there was no significant difference between pre-post means in the category of language use. The absence of a comparative group does not warrant the development of “story”-writing skills; nevertheless, the significance of this study is that we have detected the development of writing skills in certain areas from students of at least an intermediate level, which can be used for developing curricula and conducting lectures.
HUBUNGAN KECERDASAN EMOSIONAL TERHADAP KEMAMPUAN MENGAPRESIASI PUISI OLEH SISWA KELAS VIII SMP NEGERI 1 DOLOKSANGGUL TAHUN PEMBELAJARAN 2015/2016

The level of intelligence and proficiency possessed by each individual is certainly not the same. Intelligence is the thing thatattracts the attention of many people to be the benchmark for succeeding or not. Almost everyone thinks intellectualintelligence is a key indicator of one's success. In fact, intellectual intelligence only depends on an individual's ability toreceive, process, store, understand and think about various phenomena. There is still human intelligence that has a profoundeffect on students' learning achievements, namely emotional intelligence. Today, one of the factors that influences lowstudent learning achievement is the lack of attention of teachers and parents in developing their emotional intelligence. Ingeneral, students are less able to control their emotions in doing something, so sometimes doing as they please, going out ofcontrol. In fact, some teachers only pay attention to the intellectual intelligence of students, because they assume by havinghigh intelligence, students will get the maximum learning results. Likewise, parents, have the same assumption, so manystudents do uncontrolled activities, and end up getting disappointing results. Based on the current state of student behavior,it is necessary to review the balancing of intellectual intelligence that students have with their emotional intelligence, in orderto be able to produce resilient and independent students and success in learning for the better. Because emotionalintelligence greatly influences the success that students will achieve, emotional intelligence must be developed widely. Withthe emotional development of students, it is expected that students' learning outcomes will improve especially in Indonesiansubjects, more specifically poetry learning.
Neural Translation for the European Union (NTEU) Project.

The Neural Translation for the European Union (NTEU) project aims to build a neural engine farm with all European official language combinations for eTranslation, without the necessity to use a high-resourced language as a pivot. NTEU started in September 2019 and will run until August 2021.
Error Analysis In Students' Classroom Discussion At Mts Lkmd Waemoli : (Analisis Kesalahan Berbahasa dalam Diskusi Siswa Kelas VIII Mts Lkmd Waemoli)

This study the analysis of language errors in Indonesian subjects at MTs LKMD Waemoli, Buru Regency in class discussion activities. The research design used in this research is descriptive qualitative, namely collecting, processing, analyzing, and presenting data objectively about the object of research, namely language errors in class discussion activities of class VIII students of MTs LKMD Waemoli, Buru Regency, especially words, phrases, clauses, and the sentence. Data collection techniques are carried out to obtain the information needed in order to achieve the research objectives, the techniques used are observation techniques and recording techniques. The results showed that the form of language error analysis for grade VII students at MTs LKMD Waemoli, Buru Regency in class discussion activities was the use of words, use of phrases, use of clauses, and use of sentences. Based on the data obtained regarding the analysis of students' language errors in class discussions, it can be said that in the use of words there are 168 non-standard word uses, in the use of phrases there are 7 errors, the use of clause errors there are 13 errors and 10 errors in the use of sentences. The overall dialogue on the data in the analysis is 146 which is more wrong with the use of errors in words.
PENGENALAN POLA DALAM MEMBANGUN SMART TECHNOLOGY PADA ERA INDUSTRI 4.0 DENGAN METODE KLASIFIKASI DYNAMIC IMAGE ANALYSIS – FUZZY NEURAL NETWORK SATU TINJAUAN DALAM TELAAH FILSAFAT ILMU KOMPUTER

Philosophy and science are two interrelated words, both substantially and historically because the birth of science does notescape the role of philosophy and vice versa, the development of science can strengthen the existence of philosophy.Computer Science as a science that learns both about computing, hardware (hardware) and software (software). ImageProcessing in the Industrial Era 4.0 becomes very important because the technology is continuously evolving which canprovide ease in classifying (Clasification). Dynamic Image Analysis is a dynamically classifying image by using the camera.The methods used are dynamic image analysis-fuzzy Neural Network (DIA-FNN) with weed detection and DHR-ARtiSt,according to camera speed level (FH/s) and particle density. The Data image of the result will be divided into 3 features suchas colour Fieatur, Morfhology feature, and Tecture feature. Results of each classsification analyzed through the FuzzyInference System to get conclusions and decisions on analysis in the form of classifications for coffee, the Fuzzy ControlSystem will soften the motor to place the coffee with the decision that the coffee is very good, good, and not good.
LibGuides: Continuity of Learning Services at Sawyer library: Borrowing and Returning Items

This guide provides information about the Library's online services for faculty, staff and students during the Covid-19 disruptions.
THE RELATIONSHIP BETWEEN GATRA MASTERY AND COMPOUND SENTENCE WRITING ABILITY BY CLASS VII STUDENTS OF SMP NEGERI 2 SIBORONGBORONG IN 2016/2017 ACADEMIC YEAR

One of the branches of grammar is morphology, which means the science of language that discusses or studies theintricacies of word structure, as well as the effects of changes in the structure of the word on groups and their meanings. Inmorphology we will encounter morphological processes. What is meant by the morphological process is the process offorming words from their basic forms. In Indonesian, there are three most important morphological processes, namely: affixformation (affixation), repetition process (reduplication), and compounding process (composites). With the efforts that havebeen made by the Center for Language Development and Development, such as holding language seminars andcongresses, publishing various language and literary magazines, books related to language and caring for IndonesianLanguage Development programs through television, and RRI. This proves that in fact the problem of language is a problemthat concerns the interests of all the people who use it. Therefore, standardization and language development is not only theresponsibility of language experts / experts, but also all levels of society who use it. In other words, all levels of society mustbe able to take responsibility for the development of the Indonesian language. The problem of teaching Indonesian languageand literature in educational institutions should receive great attention, because the objectives of teaching Indonesian areclosely related to the process of teaching the language itself. How the success of the teaching process will be proven fromthe teaching results (output). Likewise, standard Indonesian language teaching can be achieved, if the patterns of delivery tostudents are mastered, both the standardization of sentence structures and the use of vocabulary.
Wavelet Transform and Texton based Analysis for Detection of Benign and Malignant Masses

Cancer has affected the human community to a large extent due to its low survival rate towards the end stage of the disease. It is asymptomatic in many cases during the initial stage. Thus the dependency on early diagnosis and regular check up increases manifold. Computer Aided Diagnostic Model is the need of the hour which will increase the diagnostic efficiency. A total of 400 images acquired from the Digital Database for Screening Mammography have been used here for analysis. This paper proposes a novel technique to differentiate benign and malignant breast lesions in mammograms using multiresolution analysis and Schmid Filter Bank, which were not reported earlier. A three level Haar wavelet decomposed image(L1, L2, L3) is obtained for each Region of Interest. In each level Texton based analysis is further investigated through Schmid filter bank. Statistical features and Haralick's Features are obtained from filter response and Gray Level Cooccurence Matrix respectively. Partition Membership Filter is further applied to the feature matrix for feature partitioning. The method shows maximum accuracy of 98.63% and Area under Curve of 0.981 using Random Forest Classifier and ten fold cross validation.