Reviewerly/exHarmony huggingface dataset:
J. Dudley Woodberry’s Missiology for Muslim Evangelism - Missional Implications for the Korean Church -

The purpose of this work is to find the mission theological implications necessary for the study and direction of the Korean church by researching the missional legacy left by J. Dudley Woodberry through his life and ministry of Muslim evangelism. This work introduces the core elements of Dudley Woodberry’s missiology for Islam Mission. His missiology for Islam mission was formed by evangelical faith, mission field experiences, and various distinguished scholars with academic tradition and continuity. Those influences provided concrete resources to Dudley. His missiology consisted of love, passion, peace, and respect to engage in meaningful encounters with Muslims. His missiology was based on the professional knowledge and understanding of Islam. Dudley Woodberry’s missiology for Islam consisted of four elements: the Muslim sources, the non-Muslim sources, the popular beliefs and practices of Islam, and the mission. The Islamic studies of Dudley Woodberry has opened a new horizon of Christian missiology for Islam mission in the 21st century.
Listening to the child and the teacher's voice about the possibility and limit of the early childhood character education as a curriculum

연구목적: 이 연구는 교육과정으로서의 유아인성교육의 가능성과 한계를 고찰하기 위한 질적 연구이다. 이 연구는 인성교육의 두 주체인 유아와 교사들의 목소리에 귀 기울임으로써 교육과정으로서 인성교육이 가지는 가능성과 한계를 살피고자 하였다. 방법: 이 연구는 인성교육에 대한 유아와 교사 및 원장의 인식을 고찰하였다. 이를 위해 총 7명의 유아와 개별 면담하였으며 교사 18인 및 원장 4인과 초점집단면담(F.G.I.)을 실시하였다. 이를 통해 인성 개념에 대한 유아와 교사 및 원장의 관점, 유아인성교육의 가능성과 방법, 유아인성교육의 한계와 문제점에 대한 교육 주체들의 인식을 살펴보았다. 결과: 첫째, 유아들은 긍정적, 부정적 인성 특성을 중심으로 인성을 이해하고 있었으며 인간이 선함과 악함의 중층성을 지닌 존재임을 표현했다. 교사 참여자들은 인성이 인간 고유의 성품이라고 보는 관점과 인성은 그 시대적, 사회적 가치의 합의라고 보는 관점으로 나뉘었다. 둘째, 유아들은 인성교육이 지식적, 감시적, 실천인 접근에서 가능하다고 이해하였으며 교사들은 유아인성교육이 관계를 위한 교육으로 유아가 타인과 어우러져 사는 법을 일상 속에서 보고 배울 때 가능하다고 보았다. 셋째, 유아들은 인성교육의 한계에 대해 인성교육의 무용성과 사람 인성의 변화 불가능성을 언급했고 교사들은 기존의 인성교육이 발달에 부적절한 인성 요소를 가지고 있으며, 교육 대상의 혼동, 인성교육의 교육과정화 등을 한계로 지적했다. 결론: 이 연구는 근래에 왕성하게 이루어지는 유아인성교육에 대해 그간 교육 주체들의 목소리를 잘 듣지 못했다는 반성으로 유아인성교육의 두 주체인 유아와 교사의 인성교육에 대한 인식과 의견을 드러내었다는 점에서 의미가 있다. 또한 연구 결과를 통해 유아인성교육의 교육과정화의 가능성과 한계에 대한 시사점을 줄 수 있을 것이다.Objectives: This study is a qualitative study on the possibility and limitations of early childhood character education as an early childhood curriculum and examines the perception of early childhood, teachers, and directors about self-education by listening to the voices of the education subjects of the child education. Methods: To this end, we personally interviewed 7 children. The focus group interviewed(F.G.I.) was on the concept of character/personality and the possibility and limitations of the early childhood character education with 18 teachers and 4 directors. Results: The results of this study are as follows. First, the young children understood the concept of character/personality with positive and negative personality traits and expressed that human beings have a layer of goodness and badness. Teacher participants were divided into the view that humanity is an early childhood character inherent to human beings and the view that personality is an agreement between the times and social values. Second, the young children understood that character education is possible from the approach of knowledge, surveillance and practice. Teachers thought that it was possible for the child to be able to learn how to live and learn in daily life. Third, the children mentioned the limitation of personality education because of the dance of personality education method and the impossibility of human personality change. Teachers have a personality factor that is inappropriate for the development of the existing personality education, and the confusion and the early childhood character education, and the process has been limited. Conclusions: This study is meaningful in that it reflects the perception and opinions of the children and teachers of character education, which are the two main subjects of child education for the children, because they have not heard the voices of the education subjects. In addition, the results of this study suggest that the possibility and limitations of education and purification of early childhood character education can be suggested.
Camera Detection and Tracking Using Image Processing Technique

In this paper, we propose a new technique for detection of camera in photography prohibited areas.This technique will locate a camera.It uses image processing for detecting mobile camera.After detecting camera laser light will be directed towards that camera user also, security can be alerted about the same.The proposed work has applications such as preventing piracy in theatres.This work will serve beneficial at places such as museums, industries, historical monuments, exhibitions, changing rooms, shopping malls, jewellery stores where maintaining videography and photography is prohibited.
A Qualitative Study on the Experiences of the Middle and Old Aged Adult Learners in the Course of Their Degree Acquisition from Academic Credit Bank System - Focused on the Life-long Learning Center affiliated with ‘A’ University

본 연구는 오프라인 중심의 수업을 하는 학점은행제를 통해 학사 학위를 취득한 중고령 학습자를 대상으로 학점은행제 참여 동기와 학위취득과정에서 겪게 되는 학습경험, 학점은행제 학습경험이 이후의 삶에 미친 영향 등을 탐색하고, 학점은행제의 발전 방안에 대한 시사점을 제공하는데 목적이 있다. 자료수집은 경기북부 소재 A대학 부설 평생교육원에서 학점은행제로 학위를 취득한 중고령 학습자를 대상으로 2018년 6월부 터 11월에 걸쳐 라포 형성 과정을 거쳐 2018년 12월 3일부터 12월 10일까지 심층인터 뷰로 하였다. 근거이론에 따른 질적 분석 결과 9개의 범주, 18개의 하위범주, 48개의 개념이 도출되었다. 연구 결과, 중고령 학습자들의 학점은행제 참여 동기는 공부에 대한 열망, 제2의 인생 설계였고, 학습경험은 학습을 통한 성장, 대인관계 형성이었으며, 학점은행제 학습 경험이 삶에 미친 영향으로는 나에 대한 인식변화, 학습에 대한 인식 변화, 취업과 삶의 활성화로 나타났다. 연구의 결과를 바탕으로, 중고령 학습자들의 학점은행제 학위취득에 대한 시사점을 제언하였다.This study is aimed at middle school students who have earned a bachelor s degree through a credit banking system . This study focuses on providing an implication of the plan for the development of academic credit bank system that takes an offline-oriented class, aimed at the middle and old aged adult learners who have acquired a bachelor degree from academic credit bank system, through surveying for their motives to participate in academic credit bank system, their learning experiences that they have got in the course of degree acquisition and how the learning experience influences on their post-lives after acquiring their degree. Data were collected from interviewing in depth with those who have acquired a degree in academic credit bank system at the life-long learning center affiliated with ‘A’ University located in the northern area of Gyeonggido from Dec 3, 2018 to Dec 10, 2018 following the rapport establishment with them form June to November 2018. From the qualitative analysis on the data, based on grounded theory, 9 categories, 18 sub-categories and 48 concepts are derived. As a result, their motivation to participate in academic credit bank system is an aspiration for learning and newly mapping out their post lives, their learning experiences are helpful for their growth in academic field and for establishing good relationship with others and finally the influence that the learning experience has got on their lives are represented as an change of their self-perception by themselves, change of their perception to their learning and an activation of their lives and employments. Based on the results of this study, the implications for the acquisition of credit banking degree by middle and old aged adult learners were discussed.
웹 기반 텍스트 복잡성 자동 측정 프로그램 개발

The present study defines the concept of text complexity first and foremost. Text complexity expresses the complexity level of the texts and the principles that complex texts are appropriate for advanced learners while simple texts are appropriate for novice learners. Based on this principle, text complexity measures three aspects: the quantitative dimension, the qualitative dimension, and the reader and task dimension. In the Korean language education, there has been much research done on the readability, which is a sub component of the quantitative dimension. However, there have been difficulties in using these studies at actual educational environment. It is difficult for people to individually analyze large amount of texts. To solve the issue, the present study established a server and database on the web and developed a program for easy access. A web-based automatic text complexity measurement program can assist various members in Korean language education. The program can provide objective evidence in the level of texts for textbook developers and can be used as a tool for selecting texts for teachers to use diverse texts in the classroom. (Yonsei University)
Competence centres and intelligent security systems in Bulgaria

Joint Research Center, as a European Commission’s structure for science and knowledge, provides independent research to support the overall European Union policy. Innovative tool for dealing with expected and / or emerging challenges that need to be addressed at EU and Member States levels, and understood by the political environment is the building of competence centers. Centers focus their work on the development of analytical tools that can be applied to each policy area.A concrete example of rational national approach for implementation of this policy is establishment of the Center of Competence Quantum Communication, Intelligent Security Systems and Risk Management (Quasar). Thereby it is anticipated that innovative collaborative approaches and practices will be developed between different organizations with responsibility in the field of higher education and science, aiming at the modeling and development of interoperable, at national and European level, intelligent security systems.
A case study to Install Rooftop Solar Photovoltaic in Cote D'Azur, France

Solar PV can be undoubtedly a good source of green energy if we don't consider only the price rather than think about the impact on the environment. Rooftop solar PV installation can be a good alternative to minimize the use of fossil fuel based power consumption. While calculating solar PV, several factors (eg. rooftop tilt angle, corrective features, performance ratio, solar panel efficiency e.t.c.) need to be considered while calculating available surface area. By using these factors, the generalized method of annual energy production from time series global horizontal irradiation value is briefly described in section three. That's how a case study is made on the available rooftop area in Cote D'Azur region in France and probable energy production is counted based on it.
Tutorial You tube: English Learning Media Under the Frame Work of Studentsâ€™ Need Analysis in EFL class

This study reports how Tutorial YouTube (TYT) is used to teach English to support learning activity in EFL class in Galuh university considering that the students still require English knowledge to complete and polish what they learn in the classroom. The language media in TYT is presented in Indonesian language because it is only for Indonesian students. In the making of TYT, students' need analysis (SNA) is required to find out students' weakness in learning English. It's usually all about what language features they need and what constructed videos need to be uploaded. The purpose of the study is to find out the process of how non-native English teacher (NNET) proceeds SNA underpinning the construction of TYT for the sake of enhancing students' English performance.This case study took place in one of private universities in West Java. One English teacher, in particular English lecturer, participated for the interview and class observation. The interview result was crosschecked with the classroom observation under the Triangulation process. The goal of Triangulation is to get deep result and finding of the research. Thus, the result shows that NNET uses SNA-based TYT. She observes what the students need by scanning them all the way through during the learning session. If she thinks that her students need enrichment in one of language features, she will construct a TYT and upload it. This kind of classroom observation might scaffold the teacher in teaching English to EFL students since the time allotment in teaching English in the class can not cope with many aspects of language features. The conclusion is TYT, as the learning media, is developed based on SNA and it is fruitfull to be implemented to fulfill what the students need in learning English.
Blockchain –Transform MSME TReDS from Small to Healthy

Micro, Small and Medium Enterprises (MSME) plays an important role in the development of the Indian Economy. India, being an over-populated country, hasthe main problem of employment. MSME solves the problem of Unemployment by providing job opportunities at large scale, but for this, it is required that MSME, should have their financing in time, i.e, they should get their payments for their raised invoices in time. To facilitate their payments in time, RBI has opened TReDS (Trade Receivable Discounting System) where invoices are raised and are paid by the concerned buyers. To have more transparency in TReDS, RBI has introduced blockchain. An attempt in this paper has been made to find out how the application ofBlockchain in TReDS will further improve the payment system for the invoices raised by MSME.
Comparative Study of Different Image Resolution Enhancement Techniques in Wavelet Domain

Image resolution is an essential aspect of an image.The main objective of image enhancement is to process a given image so that the result image is more accurate than the original image for a specific application.It improves image features such as edges, boundaries which is more helpful for display and analysis.Here we propose an Image resolution enhancement techniques based on interpolation of the high frequency sub-band images.All high frequency sub-band images are obtained from wavelet zero padding-cycle spinning, discrete, stationary and Dual Tree Complex Wavelet Transform (DT-CWT).In this study, a comparison of three different image resolution enhancement techniques in wavelet domain is done.Each method is analyzed quantitatively and visually.Based on the analysis, the most efficient method is proposed.All the three techniques uses low resolution image as the input image and then wavelet transform is applied to decompose the input image into different high and low frequency sub-bands.Then these edges along with the input image are interpolated.Finally all these images are combined to generate a new resolution enhanced image by using inverse process.
The Fulbright experience: Teaching Library and Information Science for one semester in China

I spent the fall of 2016 as a Fulbright Scholar in China. I was interested in China in part because of China’s rising intellectual power and increasing economic power in the global market. I was excited and anxious to arrive in China after the end of the 2016 G20 Summit in Hangzhou, my new home. Hangzhou is famous for its history: West Lake, the longest manmade canal in the world, Dragon Well Tea (Longjingcha), and innovations, such as being the home of Alibaba’s online enterprise.
IMPLEMENTATION OF NEW NOVEL DESIGN REAL TIME ABNORMAL MOTION DETECTION SCHEME FOR VIDEO SURVEILLANCE

In this paper is clarified about Video reconnaissance frameworks create tremendous measures of information for capacity and show.Long haul human checking of the obtained video is unrealistic and incapable.Programmed unusual movement recognition framework which can adequately draw in administrator consideration and trigger account is in this way the way to effective video reconnaissance in unique scenes, for example, airplane terminal terminals.This paper exhibits a novel answer for continuous unusual movement identification.The proposed strategy is appropriate for current video-reconnaissance designs, where restricted figuring power is accessible close to the camera for pressure and correspondence.In this venture, we propose a novel and precise way to deal with movement discovery for the programmed video reconnaissance framework.Our technique accomplishes finish identification of moving items by including three noteworthy proposed modules: a foundation displaying (BM) module, a caution trigger (AT) module, and a protest extraction (OE) module.For our proposed BM module, a special two-stage foundation coordinating technique is performed utilizing quick coordinating taken after by precise coordinating keeping in mind the end goal to deliver ideal foundation pixels for the foundation show.Next, our proposed AT module wipes out the superfluous examination of the whole foundation district, permitting the resulting OE module to just process squares containing moving articles.At long last, the OE module shapes the twofold protest discovery cover with a specific end goal to accomplish exceptionally entire identification of moving items.The location comes about created by our proposed (PRO) strategy were both subjectively and quantitatively broke down through visual assessment and for precision, alongside correlations with the outcomes delivered by other best in class strategies.The calculation utilizes the full scale square movement vectors that are created regardless as a major aspect of the video pressure process.Movement highlights are gotten from the movement vectors.The factual circulation of these highlights amid typical action is evaluated via preparing.At the operational stage, impossible movement include values demonstrate unusual movement.
Feature Selection in Sparse Matrices

Feature selection, as a pre-processing step to machine learning, is effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility.There are two main approaches for feature selection: wrapper methods, in which the features are selected using the supervised learning algorithm, and filter methods, in which the selection of features is independent of any learning algorithm.However, most of these techniques use feature scoring algorithms that make some basic assumptions about the distribution of the data like normality, balanced distribution of classes, non-sparsity or dense data-set, etc.The data generated in the real world rarely follow such strict criteria.In some cases such as digital advertising, the generated data matrix is actually very sparse and follows no distinct distribution.For this reason, we have come up with a new approach towards feature selection for cases where the data-sets do not follow the above-mentioned assumptions.Our methodology also presents an approach to solve the problem of skewness of data.The efficiency and effectiveness of our methods is then demonstrated by comparison with other well-known techniques of statistics like ANOVA, mutual information, KL divergence, Fisher score, Bayes' error, Chi-square, etc.The data-set used for validation is a real-world user-browsing history data-set used for ad-campaign targeting.It has very high dimensions and is highly sparse as well.Our approach reduces the number of features to a significant degree without compromising on the accuracy of the final predictions.
Multi Document Text Summarization

Summarization process is always needs more precision and time to yield the best results. This is due to the vastness of the data, complexities in the narration of the documents and constrained time boundaries. So the task of Document summary extraction is always full of complexities. So this is the key point in many sections of society where work is lagging behind like court rooms, Academic carrier and many more due to unavailability of the document summary on time. Natural language processing and Machine learning always plays a vital role in providing the summary of the documents, but accuracy is always a big question. So this research article concentrates on extraction of the semantic Summary for the input of multiple documents. This paper introduces using of the Gaussian distribution model and Fuzzy classification along with the natural language processing technique to yield well semantic summary for the given input of the multi documents.
Simulating Multivariate Random Normal Data using Statistical Computing Platform R

Many faculty members, as well as students, in the area of educational research methodology, sometimes have a need for generating data to use for simulation and computation purposes, demonstration of multivariate analysis techniques, or construction of student projects or assignments.As a great teaching tool, using simulated data helps us understand the intricacies of statistical concepts and techniques.The process of generating multivariate normal data is a nontrivial process and practical guides without dense mathematics are limited in the literature (Nissen and Saft, 2014).Hence, the purpose of this paper is to offer researchers a practical guide for and a quick access to generating multivariate random data with a given mean and variance-covariance structure.A detailed outline of simulating multivariate normal data with a given mean and variancecovariance matrix using Eigen (or spectral) and Cholesky decompositions is presented and implemented in statistical computing platform R version 3.4.4(R Core Team, 2018).
An Anti-occlusion Video Target Tracking Method Based on Kalman Filter

The human visual system is the main component of the brain-based information processing system.It is the main way for humans to obtain external information.Therefore, the emerging science represented by computer vision came into being.Video-specific target tracking is a core issue in the field of computer vision research.It has been widely studied and concerned, and it has been widely used in many fields, such as video surveillance, intelligent navigation, medical diagnosis, augmented reality and virtual reality, etc.The specific moving target tracking algorithm and improved algorithm in the video are studied to some extent.Combining the meanshift algorithm with Kalman filtering can solve the occlusion problem of moving targets in complex scenes.This project intends to use Kalman filter and meanshift algorithm to detect and track the specified target in the video image sequence, and obtain the position, angle, scale, velocity, acceleration and dynamic trajectory of the target.Experiments show that this method has a good tracking effect on the target tracking in the video which is partially occluded during the motion.
Soft Representation Learning for Sparse Transfer

Transfer learning is effective for improving the performance of tasks that are related, and Multi-task learning (MTL) and Cross-lingual learning (CLL) are important instances.This paper argues that hard-parameter sharing, of hard-coding layers shared across different tasks or languages, cannot generalize well, when sharing with a loosely related task.Such case, which we call sparse transfer, might actually hurt performance, a phenomenon known as negative transfer.Our contribution is using adversarial training across tasks, to "softcode" shared and private spaces, to avoid the shared space gets too sparse.In CLL, our proposed architecture considers another challenge of dealing with low-quality input.
Pfeiffer Library: Locating eBooks: Pfeiffer Library Collection

Tutorial for locating electronic books in the library's collection and online Tips for locating resources through library databases.
SECURE ATM USING NFC AND ADAPTIVE AUTHENTICATION

ATM has become a most used means for people to withdraw money from their bank accounts, but ATM Cards are no longer secure because a skimmer can be fixed on ATM machine and the account details can be easily hacked .The thesis provides the development of Multi-Factor authentication along with Near Field communication, where Multi-factor authentication includes the design of risk engine proportion with the system to check the users past login records and generate suitable pattern using machine learning algorithm and calculate the risk score, based on the user risk profile it provides different means of authentication.Thus the adaptive authentication helps in providing high-security to its users.