Reviewerly/exHarmony huggingface dataset:
Cross Modal Retrieval for Different Modalities in Multimedia

Multimedia data like text, image and video is used widely, along with the development of social media. In order, to obtain the accurate multimedia information rapidly and effectively for a huge amount of sources remains as a challenging task. Cross-modal retrieval tries to break through the modality of different media objects that can be regarded as a unified multimedia retrieval approach. For many real-world applications, cross-modal retrieval is becoming essential from inputting the image to load the connected text documents or considering text to choose the accurate results. Video retrieval depends on semantics that includes characteristics like graphical and notion based video. Because of the combined exploitation of all these methodologies, the cross-modal content framework of multimedia data is effectively conserved, when this data is mapped into the combined subspace. The aim is to group together the text, image and video components of multimedia document which shows the similarity in features and to retrieve the most accurate image, text, or video according to the query given, based on the semantics.
THE FORMATION AND DEVELOPMENT OF READING METHODOLOGY IN UKRAINIAN ELEMENTARY SCHOOL (XIX – MID XX CENTURY)

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M-learning App: Learning and Understanding through Visuals (Heredity and Variation)

Mobile penetration among teenagers aged 15 years and above has spiraled to 70% on 2017. This has paved the way for educational system to technologically step up. M-learning is defined by how mobile devices are used as a learning tool in education. The aim of this research is to develop an M-learning application for Science Subject Form 4 Chapter 3 as another medium for students to master a chapter in short period of time. This research also focuses on improvising user interface (UI) and enhancing user experience (UX). This research will also evaluate the effectiveness of mobile learning apps as a learning medium among Form 4 students.
Language competence and natural language processing : Nature or nurture?

This study reviews two opposing theories regarding human language competence, i.e. the logical nativism vs. empiricism, which is reminiscent of the so-called ‘nature vs. nurture’ dispute originating from Plato’s dialogues. Generative grammar is the representative linguistic theory that embodies the idea of logical nativism, whereas Constructivist theory is the typical experience-based linguistic approach. Connectionist model (deep learning), the leading methodology of current NLP(natural language processing), is reconsidered with respect to the two theories of language competence aforementioned and the empirical nature of deep learning devise is confirmed. By reviewing possibilities and limitations of integration of the empirical approach of connectionism and the rule-based approach of theoretical linguistics discussed by Pater (2019) and others, it is concluded that a hybrid approach is in need. Two additional factors supporting the hybrid approach are provided, one for a proper explanation of the difference between native language acquisition and foreign language acquisition and the other from the empirical nature incorporated in Montague semantics which is fundamentally a rule-based linguistic theory.
Statistical Multiframes Accuracy Methodology For Attendance Marking System

Attendance marking is a burdensome and time consuming daily task for a school staff especially the number of students in the classroom are many. Thus, it becomes attractive if this manual marking process can be automated through a real-time facial recognition system [1]. Although facial recognition works well under constrained environment, identifying each individual student in a classroom environment can be very challenging especially the students are in an uncooperative manner. Conventional frame-based accuracy metrics cannot reflect the true outcome of the student attendance as it varies drastically over frames, due to the large variations of scales, poses and occlusions in the actual classroom scenarios. Here, we propose the new accuracy methodology for attendance marking based on statistical multiframes approach. Combined with the sliding window filtering, the system is able to reduce the impacts due to false positive and increasing the overall confidence level of the attendance marking after a convergence time.
Using Original and Hybrid Artificial Bees Colony Algorithm to Represent Images

Artificial bee colony is one of the artificial intelligence methods. Bees, in general, have amazing ability to build mathematical models to solve some problems in computer science and find the best solution.Thus, The current research aims to use artificial bees colony algorithm and three hybrid methods to represent gray level images. The hybrid methods gave best results value in the case that the colony size was small (Colony size=10 or 14), While all methods gave the same results in case of increasing the colony size (Colony size=18).
Penerapan Media Big Book untuk Meningkatkan Kemampuan Pengenalan Kosa Kata Bahasa Arab terhadap Anak Usia 5-6 Tahun

Language becomes the most important part in communicating locally and internationally. Arabic is a familiar language and should be learned by all Muslims. This is because Arabic is the language of the Koran and the Hadith which is a guide and guide for human life, especially Muslims. So that Arabic language needs to be introduced early on in children in interesting ways, one of them is in learning that is using big book media. This study uses classroom action research (CAR) with collaboration between researchers and teachers. Using the Kemmis and Mc.Taggart model which consists of four components namely, planning (plan), action and observation (Act and Observe), and reflection (reflect). This research was conducted in two cycles, due to the deficiencies found in cycle I. After doing the second cycle based on the reflection that existed on the first cycle, the results were obtained that the application of the big book media could improve Arabic vocabulary recognition abilities of children aged 5-6 years
On Dynamically Reconfiguring IoT Architectures

The world is moving towards a new generation of internet, the internet of things (IoT). This technological jump is improving the way we live by creating a bridge between the physical and the virtual world. Researchers are curious about the field from different perspectives especially managing of the complexity and dynamicity of these systems. The main problem being targeted in this chapter is that IoT systems are exposed to many structural and behavioral changes due to internal and external factors. This study is about the necessity of having a mechanism that enables IoT systems to perform without breaks or shutdowns regardless of context changes. The solution consists of a contextual dynamic reconfiguration process implemented by a reflexive multilayered architecture. This process is based on the autonomic computing loop. The authors also integrated evolution styles to make reusable the reconfigurations applied on the architecture of the system. Validation of the proposed approach was made on an e-health scenario, which was simulated using Cisco Packet Tracer before performing real development.
Design and Practice of Blended Teaching of Traditional Chinese Medicine Course in Advanced Vocational Education Based on Mobile Teaching Resources

in the course practice of General Technology of Traditional Chinese Medicine in advanced vocational education, the “three-dimensional” mobile high-quality curriculum resources and application platform have been constructed. At the same time, based on mobile resources, a blended teaching pattern characterized by “one center, two lines and two points” has been formed, and a new teaching pattern of “teacher and student” has been formed, which is suitable for the aging society, and the practical problems in teaching have been solved.
Consensual Qualitative Research on the Characteristics of At-Risk Learners in the Blind Spots of Education as Perceived by Teachers

본 연구에서는 다양한 교육적 요구가 있어도 교육적 지원이 적절하게 제공되지 않은 위기 학습자를 ‘교육사각지대 학습자’로 정의하고, 이들의 특성에 대한 선행연구의 명시적 지식의 한계를 보완하기 위하여, 현장교사들의 묵시적 지식을 살펴보고자 실시되었다. 이를 위하여 현장교사 10명을 대상으로 비구조화 면접을 실시한 후 합의적 질적 연구 방법을 사용하여 면담내용을 분석하였다. 연구결과, 현장 교사들이 인식한 교육사각지대 학습자의 특성으로 ‘학습 및 인지’, ‘정서행동’, ‘관계’, ‘일상생활’, ‘환경’ 5개의 영역이 도출되었다. 이를 통해, 교육사각지대 학습자의 특성을 정의하기 위해서는 다양한 범주로 구성된 정의가 필요하다는 것을 확인할 수 있었다. 또한, 도출된 16개의 범주는 교육사각지대 학습자의 특성을 식별하는데 구체적인 정보를 제공해 줄 것으로 기대한다. 그 밖에 본 연구의 의의와 제한점을 논의하였다.The purpose of this study is to investigate the implicit knowledge of teachers on the characteristics of learners in the blind spots of education in order to compensate for the limitation in the previous research with explicit knowledge. Semi-structured interviews were carried out with 10 teachers and data was analyzed using the Consensual Qualitative Research tool. In result, five domains were revealed as ‘learning and cognition’, ‘emotion and behavior’, ‘relationship’, ‘everyday life’, and ‘environment’. This study examined that the characteristics of learners in the blind spots of education consist of diverse domains. Additionally, 16 categories provide the detailed information to identify the characteristics of at-risk learners. Finally, the implications of this study and suggestion for future research were discussed.
Issues in Education and Qualification of Vocational Evaluators in South Korea

이 연구는 직업능력평가사 양성 및 자격제도 현안을 살펴보고 효과적인 직업능력평가 서비스를 수행하기 위한 과제를 제안하기 위하여 실시되었다. 연구를 위하여 직업능력평가사 양성과 자격제도에 관한 인터넷 자료를 검색하였고, 논문 등 관련 문헌을 고찰하였다. 연구결과는 다음과 같다: 장애인에게 직업능력평가 서비스를 제공하기 위한 법적 근거는 비교적 잘 구비되어 있는 것으로 나타났으나 장애등급제 개편에 따라 관련 직업능력평가사의 국가자격 인증에 대한 필요성이 강조되었다. 한국직업재활학회 자격분과위원회에서 인정하고 있는 자격연수 과정은 지식과 기술 영역에 초점을 맞추기 보다는 학과목의 명칭에 초점을 맞추는 경향이 있었고, CRCC의 CVEs 매뉴얼을 참조하여 국내 실정에 맞게 활용할 필요가 있는 것으로 나타났다. 한국과 미국은 직업능력평가사의 역할과 기능에 관한 고찰에서 유사성이 발견되었으나 자격제도의 운영에 있어서는 다소 차이가 있었다. 문헌고찰 결과, 장애인고용공단과 자격제도의 운영에 관한 협력체계가 필요하고, 실습장소 확보, 역할정체성 문제 해결 및 슈퍼비전 제공이 필요한 것으로 나타났다. 직업능력평가사 양성과 자격제도의 효율적 운영 및 관리 방안 등이 논의되었다.This study was to review the issues in education and qualification of vocational evaluators and to suggest tasks for effective vocational evaluation services. To fulfill the purpose of the study, article reviews were performed, along with a comprehensive internet search, focusing on education and qualification features of vocational evaluators. The review results were as follows: The legal foundation of providing vocational evaluation services to persons with disabilities has been well established, however the conversion of the private vocational evaluation certificate into a nationally recognized certificate was addressed with an emergence of a new disability rating system. The educational training program (or workshop), organized by the KSVR and its affiliated associations, was found to have focused on course work titles rather than focusing on knowledge and skill domains, suggesting that the CVEs manual of CRCC needs to be utilized with appropriate revisions. Admitting the overall similarity in role and function of vocational evaluators, manageable differences between the two countries were found in carrying out the qualification system. In summarizing the reviews, suggestions were made to include the cooperation with KEPAD in running educational training programs, the diversification of practicum or internship sites, the establishment of role identity, and the necessity of providing supervisions. The issues in education and qualification of vocational evaluators were discussed, along with an effective management of vocational evaluation certificate.
Combining PRNU and noiseprint for robust and efficient device source identification

PRNU-based image processing is a key asset in digital multimedia forensics. It allows for reliable device identification and effective detection and localization of image forgeries, in very general conditions. However, performance impairs significantly in challenging conditions involving low quality and quantity of data. These include working on compressed and cropped images, or estimating the camera PRNU pattern based on only a few images. To boost the performance of PRNU-based analyses in such conditions we propose to leverage the image noiseprint, a recently proposed camera-model fingerprint that has proved effective for several forensic tasks. Numerical experiments on datasets widely used for source identification prove that the proposed method ensures a significant performance improvement in a wide range of challenging situations.
LibGuides: Information Technology: Home

This guide is for the general subject Information Technology. It contains resources available in the NCU Library.
Some Simple Discussion Caused By a Probability Problem

In this paper, the famous three-door problem is taken as the research object, the probability of the participant getting the car is analyzed at first. Then the simulation experiment is carried out by using Mathematica programming. The simulation results verify the conclusion of the analysis. At the end the problem is generalized by increasing the number of doors and the program host opens a number of doors randomly. The probability of obtaining the car is analyzed and the results are verified by simulation experiments. It may cause further discussion on learning mathematical theories with applying mathematical software
APLIKASI SISTEM INFORMASI PENERIMAAN PESERTA DIDIK BARU BERBASIS WEB (SIAPDIKU) PADA SMAS HUTAMA BEKASI

In 2018 the percentage of student registrations for State High Schools was 73.27% and for Private High Schools amounted to 26.73% to be the focus in the design of applications for admission of new students to improve the effectiveness of PPDB in HUTAMA High Schools. The method of designing a new web-based application for student acceptance uses the waterfall method by analyzing needs by conducting observations and interviews. At this stage as a resource person, the school and students who have made the process of accepting new students. The process of designing and making programs to represent the results of needs analysis by making interface designs, software architecture, and interface interactions, as well as program implementation and testing using the black box testing method. Results from this research can be obtained by the application of new web-based student admissions that aims to summarize the processes carried out with the previous system. Prospective students can register new students online that are not limited by space so that they can register anywhere and anytime in accordance with the policies of the school. And the school that carries out data management can directly receive the results of the report and can directly carry out data management without having to do typing first.
An Ensemble Classification of Useful Melanoma Image Features

In this study, we evaluate majority voting based ensemble classification combined with three and five common machine learning algorithms for enhancement on semi-automated system for detecting melanoma skin cancer. Melanoma is still increasingly becoming a deadly form of cancer around the world. In our previous study, the most useful six features from plain photographs of affected skin regions were identified after segmentation, feature extraction and selection, then used for classification and evaluated by using support vector machine with Gaussian radial basis kernel (SVM-RBF). However, the comparison with other machine learning algorithms may not be sufficient to claim its superiority. Thus in this paper, we use ensemble classification to examine further and show a slight improvement in the classification performance.
The Examination of Personal and Institutional Factors Influencing Student Engagement of Minority Group Students in College

본 연구는 한국교육개발원의 한국교육종단조사 7·8차년도 데이터를 활용하여 대학 내 비주류 학생들(정원 외 특별전형, 이공계 여학생)의 대학교육 참여 정도와 이에 영향을 미치는 요인들에 대해 분석하였다. 7·8차년도 설문지를 모두 완료한 총 2,015명의 자료를 최종분석에 사용되었으며, 연구문제 분석을 위해 t검정과 위계적 중다회귀분석을 실시하였다. 분석결과 학생들의 능동적 학습은 모든 비주류 학생집단에서 학생 심리 변수에 의해 가장 많은 영향을 받으며, 교수-학생 상호작용은 대학 경험에 의해 가장 많이 설명되었다. 정원 외 특별전형 입학 학생이자 이공계 여대생의 특성을 중복적으로 지닐 때, 정원 외 특별전형 학생들은 단일 특성의 학생들보다 높은 수준의 능동적 학습을 보였다. 연구결과를 바탕으로 대학 내 비주류 학생들에 대한 폭넓은 이해가 필요함과 더불어 향후 이들의 대학교육 참여를 높이기 위한 대학차원의 지원방안을 논의하였다.This study aims to examine (1) whether there exists the difference on student engagement in college between general students and minority group students, (2) whether personal attributes and other social factors can affect engagement of minority group students and (3) how students can be influenced on engagement in college if they have multiple attributes of minority group students. The sample consists of 2,015 students from the panel data of Korean Educational Longitudinal Study. The results suggest that academic challenge and active learning are the most influential factors to minority group students compared to general students. Personal attributes and other social factors link different level of engagement of minority group student. Finally the finding indicates that students who accepted into college through a special admission and also have characteristic which is female students in science, technology and engineering majors have distinctive differences on student engagement compared to the students who only have either one.
Land Cover-level Vegetation Mapping using AVIRIS

Hyperspectral data have proven more effective for vegetation mapping than multispectral data due to their rich spectral content. This chapter discusses 4-m Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) imagery was applied to map land cover-level vegetation types in the central Greater Everglades using modern machine learning classifiers and object-based mapping techniques. It examines the value of hyperspectral imagery for wetland mapping, classification results were compared with the application of multispectral Ikonos imagery. After data dimensionality reduction, the Minimum Noise Fraction imagery was segmented to produce image objects for object-based mapping. The reference objects of AVIRIS were first converted from polygon features to point features in ArcGIS, and then the point features were spatially joined to the segmentation polygons of Ikonos. AVIRIS hyperspectral imagery produced acceptable accuracy from the Random Forest and Support Vector Machine classifiers. The Kappa value describes the proportion of correctly classified validation samples after random agreement is removed.
Art Book in the Theoretical Dimension and Practice System of the Editor

An art book is a type of editions that condenses mould-breaking, innovational, uncommon approaches of both uthor and publisher on the idea of creation of a specific book content. In practice it’s common (by mistake or on purpose) o use art book definition to classify each traditional book that is unique by all means. As a result, this confuses all participants of the publishing process. The aim of the research is to study whether all editions that are defined as art books correspond to this classification, and to consider all challenges that the editors are facing to. Using the methods of observation and analysis we have found out that the dozens of Ukrainian and foreign editions can or cannot be classified as art books. Using the systems analysis method this data became a background for revealing the consistent pattern in defining art books and editions that relate logically similar to them. The research results confirm a problem of non-conformances between the content of editions and their classification. The illustrated artistic or fiction editions are often classified to the category of art book. Their main essential and typological properties don’t allow us to designate them as art books. The scope of this problem testifies the unconscious usage of these categories, neglect of basic art book properties or blind following to current trends for manipulative purpose that influences the culture of art books publishing and readers’ expectations.
Digital Archive on Agricultural Theses and Journals (DAATJ) of Bangladesh: An overview

The purpose of this paper is to investigate the current status, potential benefits and challenges of digital archiving of agricultural theses and journals in Bangladesh with a focus on the lesson learnt from a World Bank financed project titled as ‘ Digital Archive on Agricultural Theses and Journals of Bangladesh ’. That project worked on the three Bangladeshi Agricultural Universities for five years with an aim to convert all the printed Master of Science (MS) and Doctoral theses to digital format. Following a qualitative methodology, this study was conducted through an intensive review of project documents as well as consultation with educators and students. Results of the study reveals the prospect and challenges of establishing ETD repositories for agricultural universities in Bangladesh. The analysis indicate the value of project experiences for introducing a model of ETD repositories. With a policy implication, the findings reveals that academicians, researchers, librarians, students, policy makers, extension providers and farmers would get immense benefit from such archive. Observing the success, it is recommended to adopt similar model for other agricultural universities in Bangladesh. The findings may be are of values for establishing ETDs in other developing countries for disseminating knowledge
SISTEM INFORMASI PADA PEMADAM KEBAKARAN UNTUK MENUNJANG KUALITAS PELAYANAN DI KANTOR UPTD PEMADAM KEBAKARAN KABUPATEN POLEWALI MANDAR

In general, this study aims to analyze and describe the responsiveness of information systems and fire fighting services to the PolytaliMandar District Fire Extinguisher UPTD. This research use desciptive qualitative approach. The data collection methods used are interviews with informants and observations made about approximately 1 month. The results of this study indicate that in general the responsiveness of information systems and services of PolewaliMandar District fire department is less responsive. According to the results of the research based on indicators of responsiveness, there are some shortcomings found, among others, the lack of firefighters in serving public demand because they are often constrained by road access, facilities and infrastructure, the PolewaliMandar district fire brigade is old and not feasible to operate optimally.
그림책을 활용한 협력활동이 유아의 자기조절력과 조망수용능력에 미치는 영향

Objective: This study aimed to examine the effects of collaborative activities by utilizing picture books in order to improve the self-regulation and perspective- taking abilities among four-year-olds.Methods: A total of 52 four-year-olds(control group 26, experimental group 26) attending two classes at D kindergarten located in B city participated in this study. Before and after the activities, all participants individually took a social perspective taking ability instrument and rated their self-regulation with a teacher. Data were analyzed by conducting ANCOVA in the way of setting pre-test scores as the covariate and post-test scores as the dependent variable.Results: First, the total and subarea of self-regulation in the experimental group was higher than the control group. Second, the cognitive and emotional perspective taking abilities in the experimental group were higher than the control group in all cares.Conclusion/Implications: The results of this study suggest that collaborative activities using picture books are effective in improving young children’s self- regulation and perspective-taking abilities.