Reviewerly/exHarmony huggingface dataset:
Realization and optimization of face recognition system based on MATLAB

Abstract In this dissertation, several techniques used in face recognition have been investigated. Besides, a critical problem in face recognition which is illumination variation has been considered. In this dissertation, a face recognition system has been built using MATLAB. In this system, after the Eigenface has been achieved, two techniques to deal with illumination changing have been implemented, shadow compensation and local binary pattern (LBP) respectively. After the experiment, LBP shows a better performance than shadow compensation on Yale B cropped database.
Guides: English 102 Guide for Yvonne Mills: Course OER Texts

In this composition course for transfer to four-year institutions, students develop composition, analytical, and critical reasoning skills through study of literary works (fiction, poetry, drama, and essay).
Parametric Analysis of Resource Management in HDFS

Data has become an integral part of human life in the modern world. As there is increase in volume and different varieties of data available, big data domain has become a powerful area. Big data uses more resources for the processing. This paper focuses on resources utilized in big data environment to perform the operations. It uses various resources like memory, files and network bandwidth. Hadoop framework handles data distributed over cluster.Main concentrationof this paper is on the usage of memory space or disk space. Experimentation is carried out through map reduce programs on different versions of Hadoop by changing some of the parameter values in the configuration files.
Research on the Innovative Path of Chinese Education in Colleges and Universities Based on Computer-aided Technology

Abstract In college teaching, Chinese is an important basic subject and also an important prerequisite for learning other subjects well. Humanistic quality education is a question worth thinking in Chinese teaching. "Internet +" has brought great impact to the field of higher Chinese education, and it has brought opportunities and challenges to the development of Chinese education. This paper first analysis the impact of "Internet +" on Chinese education in colleges and universities based on computer-aided technology. And then it analysis the problems in Chinese education. Finally, this paper puts forward some suggestions for the innovation development.
A Feature Analysis for Multimodal News Retrieval.

Content-based information retrieval is based on the information contained in documents rather than using metadata such as keywords. Most information retrieval methods are either based on text or image. In this paper, we investigate the usefulness of multimodal features for cross-lingual news search in various domains: politics, health, environment, sport, and finance. To this end, we consider five feature types for image and text and compare the performance of the retrieval system using different combinations. Experimental results show that retrieval results can be improved when considering both visual and textual information. In addition, it is observed that among textual features entity overlap outperforms word embeddings, while geolocation embeddings achieve better performance among visual features in the retrieval task.
Pedagogical conditions of formation of professional competence of the cadets of the military university: functional approach

It is necessary to apply modern pedagogical technologies to implement the tasks on formation of the professional and ethical competence of the cadets of the military University. The leading position is occupied by the technology of personality centered education. The author of the article reveals pedagogical conditions which help to form the professional and ethical competence of the cadets. Special aspects of the use of the pedagogical methods and means of the general cultural development of the individual are revealed in the article. These special aspects are being implemented in accordance with the programme of the formation of the professional and ethical competence of the cadets. As a conclusion it is said that functional approach helps the teachers of the military University to comprehend the optimal strategy to implement the pedagogical conditions of the formation of the professional and ethical competence of the cadets of the military University.
CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition

We propose a CTC alignment-based single step non-autoregressive transformer (CASS-NAT) for speech recognition. Specifically, the CTC alignment contains the information of (a) the number of tokens for decoder input, and (b) the time span of acoustics for each token. The information are used to extract acoustic representation for each token in parallel, referred to as token-level acoustic embedding which substitutes the word embedding in autoregressive transformer (AT) to achieve parallel generation in decoder. During inference, an error-based alignment sampling method is proposed to be applied to the CTC output space, reducing the WER and retaining the parallelism as well. Experimental results show that the proposed method achieves WERs of 3.8%/9.1% on Librispeech test clean/other dataset without an external LM, and a CER of 5.8% on Aishell1 Mandarin corpus, respectively1. Compared to the AT baseline, the CASS-NAT has a performance reduction on WER, but is 51.2x faster in terms of RTF. When decoding with an oracle CTC alignment, the lower bound of WER without LM reaches 2.3% on the test-clean set, indicating the potential of the proposed method.
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks

Contextual embeddings derived from transformer-based neural language models have shown state-of-the-art performance for various tasks such as question answering, sentiment analysis, and textual similarity in recent years. Extensive work shows how accurately such models can represent abstract, semantic information present in text. In this expository work, we explore a tangent direction and analyze such models' performance on tasks that require a more granular level of representation. We focus on the problem of textual similarity from two perspectives: matching documents on a granular level (requiring embeddings to capture fine-grained attributes in the text), and an abstract level (requiring embeddings to capture overall textual semantics). We empirically demonstrate, across two datasets from different domains, that despite high performance in abstract document matching as expected, contextual embeddings are consistently (and at times, vastly) outperformed by simple baselines like TF-IDF for more granular tasks. We then propose a simple but effective method to incorporate TF-IDF into models that use contextual embeddings, achieving relative improvements of up to 36% on granular tasks.
Texture Stationarity Evaluation with Local Wavelet Spectrum

In texture analysis, stationarity is a fundamental property. There are various ways to evaluate if a texture image is stationary or not. One of the most recent and effective of these is a standard test based on non-decimated stationary wavelet transform. This method permits to evaluate how stationary is an image depending on the scale considered. We propose to use this feature to characterize an image and we discuss the implication of such approach.
Sentiment Mining Analysis of Fuzzy Evaluation Comment Data Based on the Structure of Similar Deep Learning

Abstract With the rapid development of the Internet, it is increasingly necessary to mine and analyze the sentiment of comment data. The purpose of this paper is to use the deep learning feature construction method to develop an effective mechanism to solve the learning problem under the imbalanced distribution of sentiment analysis of comment data, build an efficient model that can classify comments, and help the government correctly guide the people’s sentimental inclinations. This paper adopts the method of combining keyword extraction and incremental discretization through this model, extracts keywords from the comment corpus, sets up a fuzzy matrix according to the weight of the keywords, and uses incremental K-in the discretization of the fuzzy matrix. The means algorithm extracts some additional structural features as auxiliary information to increase the prediction accuracy of the network. Through experiments, it is found that the comprehensive evaluation results obtained by this method on the comment data set are only 0.02% different from the comprehensive scores of other papers, indicating that the results obtained by the model are extremely accurate. Moreover, the model is adjusted with hyperparameters, and it is compared with the text sentiment analysis model proposed in some articles in recent years. Experiments show that the review data sentiment analysis model constructed with deep learning features has a good classification effect and a wide range of applicability.
Educational trends and technologies 4.0. Digitalization of education: persondeveloped concept

Presented are stages of transformation of the education system, based on the criterion of technological representation and knowledge acquisition. Features of transformation of the education system in accordance with change in technology in education through acquisition of knowledge by subjects on the basis of technologies implemented in education are examined. Four stages are distinguished, and the last one related to integration of artificial intelligence in the educational environment in direction of development of Education 4.0 is considered in more detail. The concept of person-develop of personality in digital environment, based on cognitive processing of information by a person is presented. Feature of the person-develop concept allows to replace progressive receipt of information by a person in development of person in direction of relevance and individuality of receiving information, forming an attractor of development. Necessity of using the concept of an attractor instead of a trajectory, that allows one to consider multi-dimensionality and variability of personality development in digital environment, is substantiated. The basis for implementation of the concept of person-develop is the concept of content, sliding across the information space. This concept considers development of personality in digital environment through formation of trans-disciplinarity of consumed content. Content-slide is presented as an attractor of personality development, associated with deviations, that occur during the analysis and assimilation of content. Due to the content slide, personality sets an individual direction of his development in information developing space. The article considers the direction of integration into information developing space of artificial intelligence, that will transform the content, consumed by the individual into image models, corresponding to the cognitive orientation of personality for its productive analysis and assimilation.
Novel Approach for Resolution Enhancement of Satellite Images Using Wavelet Techniques

Today, many researchers are working on satellite images, to solve resolution problems. Some of the techniques are used to enhance the resolutions that are Stationary Wavelet (SWT), Discrete Wavelet (DWT) and Integer Wavelet Transforms (IWT). These wavelet transforms are considered for improving the quality in terms of resolution enhancement. Low resolution (LR) image is used for processing and decomposed by mentioned transforms. Interpolation techniques are applied to manipulate the output of transform images. Some estimated images determined through the interpolation factor 2 to make equal sizes of images. All the images are integrated with inverse wavelet transform to generate high resolution (HR). In this work, we have compared wavelet transform. LANDSAT5 satellite images are considered for verification of implemented techniques. In this paper, three types of results are presented that are enhanced the image with size 128 × 128 to 512 × 512, 256 × 256 to 512 × 512 and iterative resolution. Some of the quality parameters are applied, i.e. PSNR, RMSE, MAE and MSE for verification for the performance of implemented techniques.
‘China and East Asia’ - A Comparative Analysis of Taiwan’s High School History 2 TextbooksAccording to the 12YNEHC in 2018 -

I analyzed two kinds of the high school history textbooks, History 2 in order to see how the characteristics of the high school history ‘China and East Asia’ sub-domain according to 12YNEHC in 2018 were embodied in textbooks.BR In order to realize ‘Chinese history in the context of East Asia’, 52% of the Sanmin version and 42% of the Nani version newly added East Asian history or integrated it with Chinese history. In ‘migration and exchange’, both versions were described only in the case of China in the pre-modern era, but the case of China and East Asia was also described in the modern era. In particular, the Nami version reflected the purpose of 12YNEHC in 2018 by methodically explaining the migration of China, Japan and Korea since the modern times. ‘People’s Perspective’ broadened the understanding of the scope and lifestyle of ‘People’ by describing the various religious and non-religious social organizations that existed in the traditional dynasty.BR In History 2, the amount of Chinese history was reduced to the minimum by adding East Asian history. If the reduction of Chinese history in history education means ‘de-Sinicization’, as the Kuomintang asserts, the ‘de- Sinicization’ of the Democratic Party’s Tsai Ing-wen government is the highest level in the regime.
LibGuides: Researching Majors and Careers - Winter Park Campus: Start Here

A guide designed to help SLS students on the Winter Park Campus research careers, majors, and 4-year colleges.
Computer Vision Based on Computational Intelligence and Its Application Analysis

Abstract Under the background of modern information technology intelligence, the comprehensive processing technology formed by the processing and calculation of information and data. The purpose of this paper is to analyze the vision application under the intelligent computer, and the computer and technology application based on intelligent integration is to scientifically design various computer sectors by expanding and extending the functions of the computer. The method used in this paper is based on face recognition in computer vision. First, image recognition is used as the image description, and then the feature points are used to extract the K-means clustering algorithm. The clustering algorithm is used to determine the k value of M., Then clustering can get M keywords, generate a classification model using the independent features of the histogram, and then use local and global visual features to extract computer vision recognition data with obstacles. Experimental research results show that computer vision is an important development direction of artificial intelligence, which uses cameras and computers instead of human eyes to perceive, recognize, track and measure targets, obtain three-dimensional information of corresponding scenes, and process captured pictures or videos.
Automatic Grading and Adaptive Question Selection for English Language Testing

Computer based evaluation of students’ performance is playing a vital role worldwide for ELP examinations. This method is more efficient than manual evaluating process. In this study, a new method is proposed to evaluate the examinees descriptive answers using Text Mining and Text processing algorithms with the help of Natural Language Processing tools. This system includes three sections of ELP, namely: reading, writing and speaking. Dataset for the examination process is extracted using the UiPath platform from reference books which are stored into the database. On taking a test, the system automatically calculates the result and polarity of the subjective answers using NLP and fuzzy logic. In this study, we used Rasch algorithm for adapting to the ability of the examinee for question difficulty level selection and also evaluate the same answer using Natural language processing (NLP) algorithm to check grammar mistakes, polarity and stores the marks in database and finally represent them graphically for better visualization of results.
1696년 안용복 ·뇌헌 일행의 도일과 의승수군에 관한 해석학적 연구

King Sukjong and Chosun government officials including Nam Gu-Man, a prime minister of the Chosun dynasty, paid special attention to defense policy and guard the frontier area. The five monks including Noehun, the head of Gumo monk soldiers who went to Japan with Ahn Yong-bok in 1696, were not ‘the drifting merchant monk’ but the head of monk soldiers and regular monk soldiers(Eui-Seung-Su-Gun) under the Jeolla Jwasuyeong. The party of An Yong-bok and Noehun comprised “Civil and Official Task Force Team” for confirmation to the Korean-dominated Ulleungdo and Dokdo islands. And they went together to accomplish the purposes of special mission of the Chosun government. By the way, why did the Chosun government send Uiseungsugun, a Buddhist monk, instead of regular army or a Jeolla Jwasuyeong navy? The first reason is to avoid military and diplomatic disputes with Japan, which can be caused by the dispatch of regular troops. Second, the five members of Heungguksa Temple including Noeheon, were not only qualified to safely protect and escort civilian litigants such as Ahn Yong-bok and Lee In-Seong, but also the Chosun government's exquisite choice to avoid military and diplomatic disputes with Japan. Third, these party, from the Tokugawa shogunate of Japan, not only aims to be proved that sovereignty over Ulleungdo and Dokdo is Korean, but at the same time they also aims at Japan’s domestic spying or reconnaissance on the situation. The five monks, including Noeheon the head of Gumo monk soldier, who went with Ahn Yong-bok in 1696, were not ‘the drifting merchant monk’ but the head of monk soldiers and regular monk soldiers(Eui-Seung-Su-Gun) under the Jeolla Jwasuyeong. The conclusion is that The party of An Yong-bok and Noehun comprised “Civil and Official Task Force Team” for confirmation to the Korean-dominated Ulleungdo and Dokdo islands. And they went together to accomplish the purposes of special mission of the Chosun government.
Human motion tracking under indoor and outdoor surveillance system

This paper gives an overview of the various potential applications involved in human motion tracking. Also, a review of some relevant algorithms in this area are summarised based on three main components: the human target extraction, the features extraction, and the motion model. In addition, a proposed generative and discriminative human tracking method is presented. This proposed method is based on the hybridisation of Kalman filter (KF) and the support vector machines (SVMs). Numerous experiments illustrate the effectiveness of the proposed method against several state of the art trackers. These experiments are applied on several real world image sequences with various challenges that make the tracker vulnerable which are: partial and full occlusions, illumination changes, scale variation, out-of-plane, rotation, motion blur, low resolution, deformation, fast motion and background clutter.
A survey on the influence of developer emotions on software coding productivity

In this paper, we survey the major research efforts found in literature to develop an understanding of human emotions in relation to its effect on software coding productivity. To achieve this, we first highlight the main contributions for eliciting user emotions, including their properties, representation, limitations, and available APIs. We then report on our survey of the important factors that influence software coding productivity and various metrics to measure it. We aim to focus on productivity aspects measured over short durations of time, and not only measuring effort consumed in software coding alone. We then report on the studies that were conducted to investigate the impact of emotions on the productivity of developers. Some studies performed sentiment analysis on text, while others relied on biometric sensors to perform measurements. Most studies, however, relied on self-assessment to obtain data. Overall, the limited number of studies and the inconsistencies in the findings suggest the need for more effective ways to detect users' emotions and related productivity during software development activities.
Value aspects of professional formation of a teacher in the context of a radical change in the educational paradigm

The purpose of this article is to present an extended analysis of the value aspects of professional formation of a teacher in terms of axiological approach in the era of cultivation of ambiguous ideas of postmodern pluralism in all spheres of human activity. The results of the study are presented in the format of theoretical and practical substantiation of axiological model of cultural self-identity of the teacher, the basic principles of which are humanitarian and humanistic orientation of education as the dominant values of the events of the professional educational space It is emphasized the positive effect of organizational-methodological activities aimed at the formation of the professionalism of the young teacher in the system of postgraduate teaching; the conclusion about the need for the inclusion of a special module of additional program content which motivates for continuous education of the pedagogue in the conditions of updating targets, organizational forms and meaningful value orientations, as well as the prospects for further development of the participants within the frameworks of recurrent education in the multinational region.
The role of reference frame in panoramic scene memory

How do we construct a seamless visual experience despite changes in the current view? Recent studies suggest that overlapping visual content between individual views plays a key role in forming panoramic scene memory. What reference points are used when integrating individual views into a panoramic representation? In the current study, we tested the effect of the overlapping visual experience in two different types of reference points: viewer-centered and scene-centered. In each trial, participants viewed two short clips sampled from a 360° panoramic environment. In the viewer-centered condition, the view changed as if the viewer rotated the head to survey the environment in a fixed position. In the scene-centered condition, the view changed as if the viewer revolved around an invisible pivot inside the scene. In each condition, the two clips either shared a portion of the visual content (Overlap Condition) or not (No-Overlap Condition). In the following memory test, participants were asked to determine whether the two snapshot images from the opposite poles of the studied environment were drawn from the same place. Our results show higher panoramic scene memory performance for the images presented in the Overlap Condition compared to the No-Overlap Condition, replicating previous findings. Importantly, the overlap effect was significantly greater in the viewer-centered than in the scene-centered reference point condition. These results demonstrate that reference point information is utilized along with visual overlap cues when integrating scenes in memory, suggesting a potential role of a viewer-centered reference frame in constructing a coherent visual experience.
Obtaining a Homeomorphism from an Arbitrary Bijection

We wish to demystify the concept of a homeomorphism for anyone who finds the idea ``intangible'', by showing that one can construct a homeomorphism out of any given bijection in a natural way. Some interdisciplinary examples are discussed for concreteness.