Reviewerly/exHarmony huggingface dataset:
End-to-end algorithm for absolute phase retrieval

Absolute phase plays a very important role for many applications. At present, various techniques have been exhaustively developed for absolute phase recovery. There are three major categories: spatial phase unwrapping, temporal phase unwrapping and deep learning techniques. Analyzing from these methods, a commonality is limited into the procedure of absolute phase recovery. Namely, the conventional algorithms yield to calculate wrapped phase, fringe order and absolute phase in turn. There is a closer dependency between the accuracy of the previous results and the next ones. So more serious errors could accumulate from this computation procedure, meanwhile the recovery speed is decreased. For this reason, we present an end-to-end method to obtain the absolute phase maps by projecting only two-step specially intensity-coded fringe patterns. Unlike the above-mentioned techniques, we can not only compute the wrapped phases from two fringe images, but also decode the corresponding fringe orders simultaneously from two fringe images without any additional patterns. The presented method breaks the limitation and simplifies the procedure of phase unwrapping. Simulations have been carried out to validate the feasibility of the proposed method.
불균등한 SW·AI 경험이 교육격차에 미치는 영향: 체험 활동 프로그램의 AI교육 사례 중심으로

In the era of the 4th industrial revolution, it can be said that securing SW·AI talent is very important to strengthen national competitiveness. In order to secure SW·AI talent, the world spends a lot of money and time on SW·AI education and puts great effort into nurturing talent. The Republic of Korea also reflected the SW education content in the elementary, middle, and high school curriculum by reorganizing the curriculum from 2015. Through SW-oriented universities and AI graduate school education support projects, large budgets are also invested in higher education institutions to focus on nurturing SW·AI talents. However, in reality, there are high voices of concern that both the quantity and quality of SW·AI education are insufficient. With this background, this study started from the point of view that the cause of the AI education gap in the experiential activity program for high school students is the difference in prior SW·AI experience. High school students who participated in the experiential activity program were analyzed by dividing the level of fun, difficulty, satisfaction, and expectation by SW·AI experience. As a result of the analysis, it was possible to confirm a significant result that SW·AI experience is affecting AI education. Based on the results of this study, it is necessary to minimize the educational gap that may occur due to the failure to receive SW·AI education equally. For this, SW·AI education should be converted into a required subject so that SW·AI education can be systematic and continuous from elementary school to high school, and the number of hours of classes should be expanded systematically.
SCUDS at ROCLING-2021 Shared Task: Using Pretrained Model for Dimensional Sentiment Analysis Based on Sample Expansion Method

Sentiment analysis has become a popular research issue in recent years, especially on educational texts which is an important problem. According to literature, the similar sentence generation can help the prediction performance of machine learning. Therefore, the process of controlled expansional samples is a key component to prediction models. The paper proposed a sample expansion method which combined part-of-speech filter and similar word finder of Word2Vec. The generate samples have high quality with similar sentiment representation. The DistilBERT pretrained model is used to learn and predict Valence-Arousal scores from the expansion samples. Experimental result displays that the using the expansion samples as training data into prediction model has outperforms original training data without expansion, and obtains 80% mean square error reducing and 28% pearson correlation coefficient increasing.
Adversarial Robustness with Semi-Infinite Constrained Learning

Despite strong performance in numerous applications, the fragility of deep learning to input perturbations has raised serious questions about its use in safety-critical domains. While adversarial training can mitigate this issue in practice, state-of-the-art methods are increasingly application-dependent, heuristic in nature, and suffer from fundamental trade-offs between nominal performance and robustness. Moreover, the problem of finding worst-case perturbations is non-convex and underparameterized, both of which engender a non-favorable optimization landscape. Thus, there is a gap between the theory and practice of adversarial training, particularly with respect to when and why adversarial training works. In this paper, we take a constrained learning approach to address these questions and to provide a theoretical foundation for robust learning. In particular, we leverage semi-infinite optimization and non-convex duality theory to show that adversarial training is equivalent to a statistical problem over perturbation distributions, which we characterize completely. Notably, we show that a myriad of previous robust training techniques can be recovered for particular, sub-optimal choices of these distributions. Using these insights, we then propose a hybrid Langevin Monte Carlo approach of which several common algorithms (e.g., PGD) are special cases. Finally, we show that our approach can mitigate the trade-off between nominal and robust performance, yielding state-of-the-art results on MNIST and CIFAR-10. Our code is available at: this https URL
Creating Covert Channel by Harnessing Shapley Values from Smartphone Sensor Data

In this paper, we devise a Shapley-value-based covert channel in smartphones. More specifically, unlike ordinary use of Shapley value in cooperative game, we make use of a series of Shapley values, which are computed from sensor data collected from smartphones, in order to create a covert channel between encoding smartphone and decoding smartphone. To the best of our knowledge, we are the first to contrive covert channel based on Shapley values. We evaluate the encoding process of our proposed covert channel through simulation and present our evaluation results.
PEDAGOGICAL DESIGN OF ONLINE TRAINING IN INFORMATION TECHNOLOGIES

Online IT training is a reality caused by absentee learning in schools given the pandemic environment. This training is a substitute for blended learning (traditional + e-learning), which takes place in schools in the subject of Information Technologies, but the current reality introduces some changes in both the understanding of e-learning and the understanding of blended learning. Since the prospect of the 2020/21 school year to start again and continue with absentee learning is theoretically possible (and already legally regulated), the preparation of students in Information Technologies must be consistent with it. This study is an attempt to prepare students for the upcoming practical activities in schools (teacher-training practice and pre-graduation pedagogical practice.), and to implement an online learning process they must: master a platform for synchronous, e-learning (BigBlueButton); to analyze its possibilities for realization of frontal, group and individual forms of work organization; to think about the possible transformations of the classical teaching methods through the chosen platform; to synthesize substitute methods and tools for realization of the classical didactic tasks - updating of knowledge and skills, presentation of the new educational content, visualization and demonstration of activities and results, formation and improvement of skills, application of knowledge and skills, transfer of skills and competencies, get feedback. As a result of such preparation, the conceptual framework of online pedagogical design for information technologies training should be formed, including - goals, procedures for learning the content and ways to measure learning outcomes. Recommendations should be defined as those didactic tasks, naturally and those types of lessons, the implementation of which is partially or completely impossible with a platform for synchronous learning, in order to seek additional or alternative solutions for their implementation.
Apple's Picking

Author(s): Suria, Nishant; Minmini, Sanganathan; Thrisha, Kopula | Abstract: A small game with apples and monsters. Players control a character to fight off monsters and collect apples in a small map.
Nomadic practices : A posthuman theory for knowing design

This article develops the theory of nomadic practices as an alternative to seeing design as a humanist discipline. Nomadic practices is an epistemological theory guided by posthumanist commitments of phenomenological intentionality, situated knowledges, and nomadism. In contrast to humanist understandings of design that rely on objectivist viewpoints and universalizing foundations, nomadic practices see knowledge production in design as situated, embodied, and partial. The aim of the theory of nomadic practices is to remove the epistemological hurdles of a disciplinary structure such that design practices can be more expansive and plural. The article builds on prior epistemological theories including Kuhn’s (1962) paradigms, Redstrom’s (2017) programs, and Agre’s (1997) generative metaphor as seen through past changes and upheavals in what is considered design, such as Bodker’s (2006) third wave HCI (human-computer interaction) or Harrison et al.’s (2007) paradigms of HCI. It then turns to key posthumanist concepts to articulate structural features of nomadic practices, namely 1) multiplicity of intentionalities; 2) situated knowing; and 3) nomadism. The contribution of this article is to offer a theory for thinking about design that embraces multiplicity and diversity rather than universalizing and singular ways of knowing design.
Effective Tools and Methods of Online Teaching Russian as a Foreign Language: on the Materials of the Teachers Survey

This paper presents data on effective tools and methods of online learning obtained during a survey of 72 teachers of Russian as a foreign language working in various universities in St. Petersburg. The questionnaire, which included 7 open and closed questions, was created taking into account the features of the online lesson: reliance on cloud platforms for video conferencing, the dominant nature of visual perception of information, the need to constantly maintain the attention of students, and the lack of direct contact between the teacher and students. During the survey, it was found that the effectiveness of online teaching Russian as a foreign language, according to teachers, depends on the technical capabilities of cloud platforms for video conferencing, the use of both traditional textbooks in PDF format, and electronic textbooks as well as teachers' own training materials. Also it depends on the use of slide presentations, additional audio and video materials of both educational and non-educational nature, electronic simulators, sites containing game tasks, innovative methods and techniques of teaching.
INTERPERSONAL RELATIONSHIPS AND PERFORMANCE OF EMPLOYEES IN BUNGOMA COUNTY REFERRAL HOSPITAL

Employee Satisfaction is an essential part of every organization if they are striving towards success. Most organizations have been focusing on employee wages and salaries in exchange for dictated work structures. Organizations both in the private and public sector across the globe rely on their workforce for optimum productivity which would in turn result in organizational efficiency. The main objective of this study was to examine the relationship between Interpersonal Relationships and Performance of Employees in Bungoma County Referral Hospital. The study adopted a descriptive survey research design. Target population was from Bungoma County Referral Hospital. Stratified random sampling Technique was used. The Questionnaire was used an instrument of primary data collection. Descriptive and Inferential statistics was analyzed by use of the statistical package of social sciences (SPSS). Descriptive statistics were essential for finding the results of data frequencies, standard deviations and the mean. However, inferential statistics was essential for determination of correlations among the variables of the study. ANOVA was applied on determination of inter-relationship within the variables and at the individual item level; hence, the structural regression model was developed to reflect the relationship among the variables. The results after the analysis indicated a significant positive relationship of Interpersonal Relationships and Performance of Employees at the Bungoma County Referral Hospital. The study embraced the use Interpersonal Relationship Practices at the place of work since it improves employee performance. Furthermore, in order to improve excellent workplace interactions, firms must keep an eye on conflict management frameworks. Organizations should also strive to create a positive working atmosphere that encourages employees to apply their talents and knowledge to the appropriate job duties. The study recommended for further studies on similar variables while applying other methods. Key words: Interpersonal Relationships, Employee Performance CITATION: Makheti, A. M., &amp; Juma, D. (2021). Interpersonal relationships and performance of employees in Bungoma County Referral Hospital. T he Strategic Journal of Business &amp; Change Management, 8 (4), 451 – 462.
NILAI DIDAKTIS DALAM TEKS PUISI RAKYAT PADA BUKU AJAR BAHASA INDONESIA

The purpose of this study is to describe the didactic value of folk poetry texts in Indonesian language textbooks. This research was conducted with a qualitative method and pragmatic approach. The data is taken from teaching materials in Indonesian language books for grade VII junior high school students. The conclusions produced in this study are the text of folk poetry in Indonesian textbooks containing didactic values. The didactic value contained in the text of folk poetry in Indonesian language textbooks, namely: religious values, the value of working hard, the value of curiosity, honest values, values of caring for the environment, democratic values and the value of patriotism. Didactic values in folk poetry are presented in language that is easily understood by students. Based on the didactic value in the text of folk poetry in the seventh grade junior high school Indonesian textbook that has been studied, it is very appropriate to be used in learning Indonesian in school.
The Problems of Teachers at SMA Negeri 2 Barru in Online-Based Bugis Language Learning

Problems of SMA Negeri 2 Barru Teachers in Online Learning Bugis Language. This study aims to describe the problems faced by teachers in planning, implementing, and evaluating online-based Bugis language learning. This research is a qualitative descriptive study. The informants were two Bugis language teachers. Data collection techniques include: Observation, Interview, and Documentation. The results of the study show: (1) The problem in planning online Bugis language learning is that in the RPP there is a discrepancy between the learning objectives and the KD. In the selection of learning media, teachers only choose to use chat applications as learning media. The choice of learning method the teacher only chooses the learning method for students to study individually. The preparation of teacher materials only compiles material in a reading file format, (2) Teacher problems in carrying out learning in preliminary activities, apperception activities, motivating students, and conveying learning objectives are not carried out by teachers in online learning. In the core activity, the teacher did not feel there were any obstacles in delivering the material, applying the method, and using the application. Closing activities, teachers do not carry out activities to conclude learning materials, and (3) Problems in carrying out learning evaluations, namely teachers have difficulty conducting learning assessments because there are still students who do not collect the assignments that have been given. One of the reasons is that the assignments submitted by students are not delivered due to a poor network.
Data-based Discovery of Governing Equations.

Most common mechanistic models are traditionally presented in mathematical forms to explain a given physical phenomenon. Machine learning algorithms, on the other hand, provide a mechanism to map the input data to output without explicitly describing the underlying physical process that generated the data. We propose a Data-based Physics Discovery (DPD) framework for automatic discovery of governing equations from observed data. Without a prior definition of the model structure, first a free-form of the equation is discovered, and then calibrated and validated against the available data. In addition to the observed data, the DPD framework can utilize available prior physical models, and domain expert feedback. When prior models are available, the DPD framework can discover an additive or multiplicative correction term represented symbolically. The correction term can be a function of the existing input variable to the prior model, or a newly introduced variable. In case a prior model is not available, the DPD framework discovers a new data-based standalone model governing the observations. We demonstrate the performance of the proposed framework on a real-world application in the aerospace industry.
Teknik Sinematografi Pada Dokumenter “Al-Qur’an Braille Sebagai Media Pembelajaran Santri Tunanetra” Yayasan Raudlatul Makfufin

In the creation of this documentary, documentary type that creators make is documentary sains. Telling about a learning media that used for tunanetra that’s it Braille Qur’an in Raudlatul Makfufin Foundation. The aim of the idea of creating this work is to provide information or knowlodge about the importace of the Braille Qur’an as a learning media for the blind. By showing from the background of Braille Qur’an, production that used computerization system in Raudlatul Makfufin Foundation until learning method of Braille Qur’an that effective for blind. In the making of this movie, creator play as director using cinematography technique for packing that story. Cinematography technique that implemented by creators includes camera angle, continuity, composition, close-up (type of shot), and cutting (editing). With all that technique to created story with interesting visual. Through this film, the creator wants to inform the public that Braille Qur’an is important learning media especially for blind students.
Analisis Spasial Bencana Dan Kerawanan Longsor Di Kecamatan Imogiri Kabupaten Bantul Berbasis Sistem Informasi Geografis (Sig) Menggunakan Aplikasi Arcgis 10.3

The physical condition of Imogiri District is very complex so that it has the potential for landslides to occur. This is supported by the occurrence of landslides in Imogiri Subdistrict, mostly in Bantul Regency. This study aims to determine the spatial distribution of landslide event points and landslide-prone areas in Imogiri District and its relationship. This research is a qualitative descriptive study using a spatial approach so that the analysis emphasizes the spatial distribution of landslide event points and landslide prone areas in Imogiri District and the relationship between the two. The research sample was the coordinate point of landslide in Imogiri District. The sampling method used was purposive sampling. The research data collection method used is the method of observation and documentation. The landslide parameter data that has been obtained are then processed by the GIS spatial analysis method including: making thematic maps, scoring, overlaying, and reclassifying them. The landslide parameters used are rainfall, geology, soil type, slope, vegetation density, and land use. The results of the study were a map of landslide occurrence points in Imogiri District 2015-2019 and landslide hazard maps in Imogiri District. The results showed that: 1) The landslide incidence points in Imogiri Subdistrict in 2015-2019 were spread over 5 villages including: Girirejo, Karang Tengah, Selopamioro, Sriharjo, and Wukirsari villages as many as 20 landslide event points. 2) Imogiri District has 3 levels of landslide vulnerability, namely: high, medium, and low. The most dominant high landslide prone areas are in Imogiri Subdistrict, covering an area of 2,435.02 ha or 47.31% of the total area of the study area. 3) The relationship between landslide occurrence points and landslide-prone areas in Imogiri District is directly proportional. The wider the landslide-prone area, the more landslide occurrence points and conversely the narrower the landslide-prone areas, the fewer landslide event points.
РЕАЛИЗАЦИЯ ПРОТОКОЛА ДИФФИ–ХЕЛЛМАНА В НЕЗАЩИЩЁННОМ ОТ ПЕРЕХВАТА КАНАЛЕ

This article discusses the implementation of the Diffie-Hellman protocol in an unprotected channel. The essence of this method is to use steganography to transmit the public key in an unsecured channel. The public key is encrypted using a block cipher and encoded into the picture using the LSB method. The uniqueness of the picture and the impossibility of changing the key is ensured by the avalanche effect. The implementation of the Diffie-Hellman protocol in an insecure channel has long remained relevant, although there is a solution in the form of publickey infrastructure, but in this article a new solution to this problem was proposed.
A Study for Photo Album Retrieval System Based MPEG-7

Semantic photo retrieval has been a crux to bridge “semantic gap” between thesimple visual features and the abundant semantics delivered by a photo. Therefore, effectivephoto retrieval using semantics is one of the major challenges in photo retrieval. We propose asemantic retrieval method of photos using photo annotation user interface. A photo albummanagement system that facilitates photo management and semantic retrieval, which fullyrelies on the MPEG-7 standard as information base, and using a native XML database hasbeen designed and implemented.
Robust Kalman Smoothers With Linear Equality Constraints

It is well known that the Kalman filter (KF) performance is clearly degraded in real-life applications where the system model is misspecified to a certain extent, that is, when the assumed knowledge does not perfectly match the true system dynamics. A possible way to mitigate the impact of a system model mismatch is to resort to linear constraints. In that perspective, a general linearly constrained KF (LCKF) formulation has been recently derived and shown to provide an effective robust filtering solution. In this contribution, we extend the LCKF framework to linear smoothers. Adapting the Fixed-Interval (FI) smoother is easy with sequential state augmentation, but the obtained linearly constrained FI (LCFI) has quadratic complexity in the interval length. Hence the need for an efficient alternative: the linearly constrained Rauch-Tung-Striebel (LCRTS) smoother. Introduced in an intuitive manner, its consistency is proved by showing that the LCFI and LCRTS coincide. The mismatch mitigation capabilities and performance of the LCRTS, with respect to unconstrained smoothers, are shown through illustrative examples with different types of mismatch in both measurement and process equations.
Bouchamma, Y., Giguère, M., & April, D. (2019). Self-Assessment and training: Guidelines for pedagogical supervision. Rowman & Littlefield.

Bouchamma, Y., Giguere, M., & April, D. (2019). Self-Assessment and training: Guidelines for pedagogical supervision. Rowman & Littlefield. Pages: 138. ISBN: 978-1-4758-5099-4