Reviewerly/exHarmony huggingface dataset:
The Problems of Simcheongjeon in Korean textbooks

<심청전>은 오랫동안 한국인이 향유해 온 고전소설의 백미로 평가받고 있다. 심청이가 ‘효’의 대명사처럼 쓰이고 있는 것도 그 전승력 때문이다. 한국어 교육에서 <심청전>에 주목하는 이유는 다양한 한국 문화교육에 적합한 텍스트라는 데 있다. 그러나 한국어 교재에 수록된 <심청전>은 그 내용이 과도하게 축소 요약 되어있고, 민담과 전래동화가 혼재된 방식이어서 이야기의 실체를 제대로 파악하기 힘든 경우가 많다. 심청이의 효행만 부각될 뿐 서사문학이 가진 구체성이 생략되어 있다. 학습활동에서도 문학이나 문화교육보다 문법과 어휘 중심의 언어학습에 치우친 경향을 보인다. 이는 <심청전>에 대한 근본적인 이해 부족과 한국어 교육을 위한 재화된 텍스트를 제대로 마련하지 못한 데 가장 큰 원인이 있다. 한국어 교육에서 <심청전>은 외국인 학습자를 위한 한국의 문학과 문화교재로서 다시 쓰여져야 한다. 그러기 위해서는 판소리 소설로서의 <심청전>의 특성을 파악하여 서사적 기본구성 즉, 심청의 출생, 심청의 성장과 효행, 심청의 죽음과 재생, 그리고 부녀 상봉과 개안 등의 구성을 마련하고 각각의 이야기 화소를 배치하여 개연성 높은 문학텍스트로 재구성되어야 한다. 이렇게 재화된 문학텍스트는 자연스럽게 한국문화교육을 가능케 할 것이다.Simcheongjeon has been appraised as one of the best classical Pansori novels that Koreans have enjoyed for a long time. The tale has been passed down until today, and Simcheong is often referred to as an icon for filial piety. Simcheongjeon has received attention in Korean language education because this tale is appropriate for teaching various aspects of Korean culture. However, the stories of Simcheong that are included in Korean textbooks today are often a challenge to understand because they have mixed elements of folktales and traditional fairytales and the storylines are oversimplified. They only highlight Simcheong’s filial piety to her father and omit the concreteness that descriptive literature possesses. Therefore, lessons taught using Simcheongjeon are often grammar- and vocabulary-focused rather than providing students with valuable insights into Korean literature and culture. The main causes of these problems are the lack of fundamental understanding of Simcheongjeon itself and the unavailability of a text designed specifically for teaching the Korean language. To best use Simcheongjeon in teaching the Korean language, the story should be rewritten as a literature text suitable for foreign learners. In order to do this, the characteristics of the original story must be carefully analyzed to redefine the narrative compositions, including birth, growth and filial behavior, death and rebirth, and reunion and delightment. Then, the story elements should be placed under these compositions to rewrite Simcheongjeon into a highly probable literature text. Such restructured literature texts will allow students to understand Korean culture more naturally.
LibGuides: Quick Kit for SCC Faculty Pivoting to Online: Home

SCC Faculty Guide to Teaching Online Share your favorite resource with other faculty. See librarian suggestions. Read FAQs.
Taller de introduccion a Python

Workshop given at the Pycon Spain, on 2019 Oct 4-6th, 2019, in Universidad de Alicante, Spain.
Library Home: Frequently Asked Questions: Holland College Library

Providing answers to those questions that stump you when writing a paper or creating lessons
Research Guides: Academic Resources Available During COVID-19: Extended Access to Existing EWU Library Subscriptions

During COVID-19, vendors have extended access to more online content. Please note, some of these resources are available only for a limited time.
A triplet-learnt Coarse-to-Fine Reranking for Large Scale Vehicle Re-identification.

Vehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the challenges of lower intra-class and higher inter-class similarities. Motivated by deep metric learning advances, we propose a novel, triplet-learnt coarse-to-fine reranking scheme (C2F-TriRe) to address vehicle re-identification. Coarse vehicle features conduct the baseline ranking. Thereafter, a fully connected network maps features to viewpoints. Simultaneously, windshields are detected and respective fine features are extracted to capture custom vehicle characteristics. Conditional to the viewpoint, coarse and fine features are combined to yield a robust reranking. The proposed scheme achieves state-of-the-art performance on the VehicleID dataset and outperforms our baselines by a large margin.
Text based image search using deep learning

This report investigates the possibility of using deep learning for performing text-to-image search. The investigation is made by creating a deep learning model which is trained and evaluated on th ...
Invisible Aesthetics of Noise

Sound in our human world is broken down into two general types : desirable and undesirable.Unwanted sounds in our lives, that we also call “noises”, induce diverse kinds of physical and psychologic ...
Libraries, Archives, Museums: COVID-19 Resources: Economic Impact Survey

Information and resources helpful for Alaska museums coping with COVID-19. Survey to document economic impact within Alaska's museum community
A new framework for privacy-preserving biometric-based remote user authentication

In this paper, we introduce the first general framework for strong privacy-preserving biometric-based remote user authentication based on oblivious RAM (ORAM) protocol and computational fuzzy extractors. We define formal security models for the general framework, and we prove that it can achieve us er authenticity and strong privacy. In particular, the general framework ensures that: (1) a strong privacy and a log-linear time-complexity are achieved by using a new tree-based ORAM protocol; (2) a constant bandwidth cost is achieved by exploiting computational fuzzy extractors in the challenge-response phase of remote user authentications.
LibGuides: Academic and Research Staff: Working Remotely with SUC Library

Library support for Staff of Stranmillis University College Guidance on resources and using the Library remotely
bodily interaction in vocal performance

This presentation explores bodily interaction in vocal performance, taking my own practice as a point of departure. It argues for an ecology of bodies that emerges at the intersection of the performer’s body, the instrumental body, the body of the audience, the architectural body and, crucially, the sonic body that emerges from their interplay.” [Tahiroglu, Tanaka, Parkinson, Magnusson, Garrelfs, Musical Instrument as a curiosity probe. In: currently in 2nd in peer review stage, Organised Sound].
Research Guides: Online Library Services: Home

Bunch Library supports remote research, teaching, and learning with a variety of electronic resources and services
Resonant Leadership and Its Impact on strategic supremacy

This research aims to determine the impact of resonant leadership in support strategic supremacy. In order to achieve this two variables have been adopted which are resonant leadership as a one-dimensional variable according to Bawafaa, 2014, and the dimensions of strategic supremacy (sphere of influence, competitive compression and competitive configurations) based on Al-Zu'bi, 2017. The University of Kerbela chosen as a field of study through a questionnaire that included (70) represented by a number of college deans, their assistants, and department heads. Some descriptive statistics, correlation, and regression analysis used for analyzing study data.
LibGuides: Exam Revision and Strategy: Online study guide - Exam strategy

Boost your exam revision and explore strategies for essay exams, online tests and MCQs with our online study guide and resources.
Machine Learning with IOT

Machine Learning is an arena which stands elevated out of Artificial Intelligence (AI). Applying AI, we expected to gather better and sharp machines. Regardless, beside couple of insignificant endeavors, for instance, finding thet briefest route between point A and B, we were not capable program more stunning and continually progressing challenges. There was at confirmation that the most perfect approach to have the ability to realize this errand was total low machine to pick up from itself. This sounds like a child picking up from its self. So machine learning was made as another limit with respect to PCs.Besides, now machine learning is accessible in such tremendous quantities of bits of advancement, that we don’t comprehend it while using it. Finding plans in data on planet earth is likely only for human brains. Face identification: Identify faces in pictures (or show if a face is available). Email sifting: Classify messages into spam & anti-spam.
Implementation of a Deep Learning Inference Accelerator on the FPGA.

Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. AI in this contemporary world is moving towards embedded platforms for inference on the edge. This is essential to avoid latency, enhance data security and realize real-time performance. However, these DNN algorithms are computational and memory intensive. Consequently, exploiting immense energy, compute resources and memory-bandwidth making it difficult to be deployed in embedded devices. To solve this problem and realize an on-device AI acceleration, dedicated energy-efficient hardware accelerators are paramount. This thesis involves the implementation of such a dedicated deep learning accelerator on the FPGA. The NVIDIA's Deep Learning Accelerator (NVDLA), is encompassed in this research to explore SoC designs for integrated inference acceleration. NVDLA, an open-source architecture, standardizes deep learning inference acceleration on hardware. It optimizes inference acceleration all across the full stack from application through hardware to achieve energy efficiency synergy with the demanding throughput requirements. Therefore, the following thesis probes into the NVDLA framework to perceive the consistent workflow across the whole hardware-software programming hierarchies. Besides, the hardware design parameters, optimization features and system configurations of the NVDLA systems are analyzed for efficient implementations. Also, a comparative study of the diverse NVDLA SoC implementations (nv\_small and nv\_medium) with respect to performance metrics such as power, area, and throughput are discussed. Our approach engages prototyping of Nvidia’s Deep Learning Accelerator on a Zynq Ultrascale+ ZCU104 FPGA to examine its system functionality. The Hardware design of the system is carried out using Xilinx's Vivado Design Suite 2018.3 in Verilog. While the on-device software runs Linux kernel 4.14 on Zynq MPSoC. Thus, the software ecosystem is built with PetaLinux tools from Xilinx. The entire system architecture is validated using the pre-built regression tests that verify individual CNN layers. Besides these NVDLA hardware design also runs pre-compiled AlexNet as a benchmark for performance evaluation and comparison (Less)
The Impact of Creativity Orientation in Achieving Competitive Advantage in Pharmaceutical Companies in Jordan

The study aimed to investigate the impact of creativity orientation in achieving competitive advantage.The study used the descriptive and analytical research methods, which were appropriate for the purpose of research.For achieving the study objectives, a questionnaire was designed and distributed.The target population consisted of all managers, head departments and directors.The researcher used a random sample method and designed a questionnaire to collect data from the study sample.The researcher distributed (90) questionnaires and (15) questionnaires dropped due to incomplete answers; therefore, (75) were analyzed.Different statistical methods were used to achieve the objectives of the study.The results showed that there is a statistically significant impact at (α≤0.05) level of creativity orientation on competitive advantage in Jordan pharmaceutical companies.The results also concluded that there is a statistically significant Impact at (α≤0.05) level of creativity orientation on competitive dimensions (quality, flexibility and responsiveness).The study recommends that pharmaceutical companies should alert all employees with the role of creativity orientation in achieving competitive advantage.
LibGuides: Continuity of Library Research & Instruction: Renew Your Library Materials Online

Library Resources and services available at SUNY Erie in preparation of increased distance learning Spring/Fall 2020
Reserved: Dissecting Internet Traffic on Port 0

Transport protocols use port numbers to allow connection multiplexing on Internet hosts. TCP as well as UDP, the two most widely used transport protocols, have limitations on what constitutes a valid and invalid port number. One example of an invalid port number for these protocols is port 0. In this work, we present preliminary results from analyzing port 0 traffic at a large European IXP. In one week of traffic we find 74GB port 0 traffic. The vast majority of this traffic has both source and destination ports set to 0, suggesting scanning or reconnaissance as its root cause. Our analysis also shows that more than half of all port 0 traffic is targeted to just 18 ASes, whereas more than half of all traffic is originated by about 100 ASes, suggesting a more diverse set of source ASes.
UCC LibGuides: Interlibrary Loan: About Inter-Library Loan

Interlibrary Loan is a service that gives you access to resources at other libraries. When you've searched Union County College Libraries catalog and databases and we don't have what you need, our free interlibrary borrowing service is your best bet.
LibGuides: Keep Learning with Kellar Library: News and Updates

A guide helping students and faculty of BMATS to understand how Kellar Library is responding during the Coronavirus Pandemic and the resources and services that are available to students during this time, Here is listed news related to library hours, staffing, and the kinds of services being offered during the novel coronavirus pandemic.
LibGuides: Research Process: A Step-by-Step Approach: 2b - Find Information Sources: Popular vs. Scholarly

Conducting Research at Your Library Review the differences between Popular and Scholarly articles.
Carbon theatre in public spaces: Using participatory theatre and co-design methods in a museum for shaping lowcarbon lifestyles

Over the past ten years, the need for public spaces to deal with burning societal issues, such as climate change, has become even more important. Participatory theatre offers ways to meet the longi ...
LibGuides: Remote Learning Updates: Free E-Resources

Classes at Pratt are moving online. The Libraries have prepared remote learning updates & resources below.
PENINGKATAN KEMAMPUAN MEMBACA PERMULAAN MELALUI MEDIA AISM (ANAK ISLAM SUKA MEMBACA) PADA SISWA TUNADAKSA KELAS IV SLB N 1 BANTUL

Abstract This study aims to improve the ability to begin reading through the media of AISM (Children of Islam Like to Read) on students of class IV SLB N 1 Bantul. The approach used in this research is a quantitative approach, while the type of research used is classroom action research. The technique used for data collection in this study is a test of learning outcomes, observation and interviews. The research data were analyzed using descriptive data analysis techniques as a percentage. Combined qualitative data obtained to strengthen the data obtained quantitatively. The results of this study indicate the use of AISM (Islamic Children Loves to Read) media in improving the learning process especially in Indonesian subjects and other subjects in general. Keywords: AISM media, physical disability and health impairment, beginning reading
Neuromarketing and Information Technology

In today’s world of intense and competitive environment in the business field, rival companies are stipulated to supplement their marketing strategies to all possible extents. Neuromarketing, has advanced as a popular commercial tool for the marketing and advertisement industry. A multitude of companies haveapplied the concepts of neuromarketing at the grassroots level to escalate their sales. Although the term was introduced in the beginning of the 2002(by AleSmidts), but it has proved itself rather effective in the recent developments of the  IT industry.
NVU Libraries Research Guides: Canvas Library Tips: Searching with Keywords

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LibGuides: Educational Tools for Your Classroom: Find Media to Use

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LibGuides: Continuity of Library Research & Instruction: Streaming Video

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LibGuides: Continuity of Library Research & Instruction: WebEX Librarian Meetings

Library Resources and services available at SUNY Erie in preparation of increased distance learning Spring/Fall 2020
LibGuides: Covid-19 for Students: Intro

A guide with information about Covid-19 geared towards Middle School Students created with the assistance of the 19-29 MS Students Council
ASSESSMENT STRATEGIES FOR WRITING ESSAYS IN JAPANESE LANGUAGE FOR BASIC LEVELS

The purpose of writing this paper is to provide an assessment strategy in learning to write Japanese essays for basic level. Writing lessons are usually considered quite difficult for students, this is due to the lack of student ability to apply vocabulary to form sentences that are arranged into an essay. In addition, the problem is also faced by lecturers, namely the limited ability of Japanese language to evaluate essays written by students and the large number of student writings to be examined. The author in this paper describes the empirical experience in Sakubun Courses in the Japanese Literature Department, Andalas University. There are several strategies that the author did to overcome the problems in the assessment of the Sakubun course. First, is to make assessment rubrics that are made together with students. This rubric contains things that must be considered in making essays such as by paying attention to the main parts of the essay, the series of sentences in the essay, and the writing of the sakubun with the letters kana and kanji. Second, the assessment is done by the peer review method. Third, the expression of motivation written by peer review and lecturers. The results of this study are that students can write essays well according to the rubric given and get good grades in writing. Keywords: assessment, essay, Japanese, sakubun
An Intelligence Artificial Fish Swarm Optimization Technique

With the massive development of information and communications technologies, the need to optimize information processing power and increase accuracy is becoming very important. This paper presents the analysis of an intelligent Artificial Fish Swarm Algorithm (AFSA) that properly select optimization parameters more effectively. It is computational intelligent with ability to solve nonlinear high dimensional problems. It addresses problems of conventional AFSA migration into local minima using control parameters such as visual distance and step sizes. Performance of the algorithm was tested using a subset of applied mathematical optimization test functions such as Ackley, Cosine Mixture, Neumaier, Rosenbrock and Rastrigin functions. Numerical results show that the intelligent algorithm outperformed the standard algorithm in 4 out of the 5 test functions. This can be very useful in computationally intensive processes.
LibGuides: Continuity of Library Research & Instruction: Embedded Librarian

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Online Multi-object Tracking with Multi-level Appearance Feature and Temporal Attention Mechanism

In this paper, a novel algorithm that integrates multi-level appearance feature and temporal attention mechanism is proposed for online multi-object tracking (MOT). To avoid identity switches and track fragment problems, low-level and high-level appearance feature extracted from different layers of a light-weighted convolutional neural network is employed to make the tracking more robust. Moreover, a new temporal attention mechanism is proposed to handle the problems of serious occluded and noisy detected objects. Specifically, temporal attention calculated from detection score, motion affinity and shape affinity are adaptively assigned to different samples in the tracklet. Third, a new feature updating strategy is applied to update the historical feature of samples in tracklet for long-term tracking instead of conventional approach such as directly removing the previous feature. From the experimental results, our method can achieve good tracking performance compared to start-of-art tracking algorithms, especially in identity consistency. Further, thanks to the design of light-weighted CNN and reused metric in temporal attention calculation, the proposed MOT can run up to SO Hz implemented on GTX1080.
Volcanic facies and hydrothermal alteration at the Norra volcanigenic massive sulfide deposit : Storuman area, Sweden

The Skellefte District, with a long and rich history of base metal extraction that commenced asearly as 1924, is rated amongst the leading mining provinces in Sweden and Europe. The districtreprese ...
Investment, Training, Employment and Poverty Alleviation in Africa: A Critical Analysis

Today, it is overwhelmingly accepted that investing in training opens a large gate for the trained people for better jobs, high incomes, and improved living standards.It is in this regard that this paper endeavors to analyse the fundamental relationship between investment, training, employment and poverty alleviation in Africa.From the analyses, it has been noticed that the relationship between these factors is weak.Also, the latter are less integrated on the African continent, mainly due to inadequate investment in training required to trigger, strengthen, and sustain their integration.In addition, training and education are more theoretical and less adapted to the development needs of many African countries.To this effect, it is recommended that: first, the development programs on the continent should match the socio-economic needs of its people; second, more emphasis should be laid on providing quality, affordable and accessible technical and vocational training to the masses; lastly, the study and mastery of science, technology and innovation at all levels of education and training should be initiated, reinforced and/or enhanced by African governments.
APPLICATION DETERMINANT HEALTHY FOOD EXPERT TO SUPPORT THE NEEDS OF NURSING MOTHERS

determination of breastfeeding mothers of healthy foods is one of the processes to Determine the level of quality of the food eaten by the mother during suckling. The Process of Determining healthy food to support the needs of breastfeeding mothers are usually still manual, the breastfeeding mothers should consult midwife or health canters nearby to find healthy food and health level of healthy foods that are consumed during lactation that the nursing mothers are sometimes difficult, for the midwife or health canters diligence takes time for consultation and moms find it difficult, if you have to carry the baby, especially a baby that is still under 5 months. In order to Overcome the problems that happened made design and construction Application Specialists Determinants Healthy Foods Needs to Support Breastfeeding. The method used for application development expert determinants of healthy foods to support the needs of breastfeeding mothers using Data Flow Diagrams (DFD). The end result of the design and construction of this expert application is the existence of a web-based mobile web that can provide easy access to information and the process of defining healthy and unhealthy food nursing mothers to Become more effective and efficient