Reviewerly/exHarmony huggingface dataset:
RED-Attack: Resource Efficient Decision based Attack for Machine Learning.

Due to data dependency and model leakage properties, Deep Neural Networks (DNNs) exhibit several security vulnerabilities. Several security attacks exploited them but most of them require the output probability vector. These attacks can be mitigated by concealing the output probability vector. To address this limitation, decision-based attacks have been proposed which can estimate the model but they require several thousand queries to generate a single untargeted attack image. However, in real-time attacks, resources and attack time are very crucial parameters. Therefore, in resource-constrained systems, e.g., autonomous vehicles where an untargeted attack can have a catastrophic effect, these attacks may not work efficiently. To address this limitation, we propose a resource efficient decision-based methodology which generates the imperceptible attack, i.e., the RED-Attack, for a given black-box model. The proposed methodology follows two main steps to generate the imperceptible attack, i.e., classification boundary estimation and adversarial noise optimization. Firstly, we propose a half-interval search-based algorithm for estimating a sample on the classification boundary using a target image and a randomly selected image from another class. Secondly, we propose an optimization algorithm which first, introduces a small perturbation in some randomly selected pixels of the estimated sample. Then to ensure imperceptibility, it optimizes the distance between the perturbed and target samples. For illustration, we evaluate it for CFAR-10 and German Traffic Sign Recognition (GTSR) using state-of-the-art networks.
Exploring representation learning for flexible few-shot tasks

Existing approaches to few-shot learning deal with tasks that have persistent, rigid notions of classes. Typically, the learner observes data only from a fixed number of classes at training time and is asked to generalize to a new set of classes at test time. Two examples from the same class would always be assigned the same labels in any episode. In this work, we consider a realistic setting where the relationship between examples can change from episode to episode depending on the task context, which is not given to the learner. We define two new benchmark datasets for this flexible few-shot scenario, where the tasks are based on images of faces (Celeb-A) and shoes (Zappos50K). While classification baselines learn representations that work well for standard few-shot learning, they suffer in our flexible tasks since the classification criteria shift from training to testing. On the other hand, unsupervised contrastive representation learning with instance-based invariance objectives preserves such flexibility. A combination of instance and class invariance learning objectives is found to perform best on our new flexible few-shot learning benchmarks, and a novel variant of Prototypical Networks is proposed for selecting useful feature dimensions.
ANALISIS KEBUTUHAN PENGEMBANGAN LEMBAR KERJA SISWA (LKS) MENULIS PERMULAAN MENGGUNAKAN PENDEKATAN PROSES SISWA KELAS I SDN KAJHU ACEH BESAR

The background of this research is that so far grade I SD students are faced with writing activities without the correct process. Students are asked to immediately write long sentences without considering the writing process according to the needs and development of students. This situation makes students lose motivation, boredom and experience various problems in writing, including slow writing, incorrect way of holding a pencil, stiff hands because they do not go through the process of stretching their hands and others. For this reason, it is necessary to study the needs of teachers and students in answering these problems. The purpose of this study was to analyze the need for developing student worksheets (LKS) in preliminary writing using a process approach for Class I students at SDN Kajhu Aceh Besar. This research uses a qualitative approach with qualitative descriptive research. The subjects of this study were 1 grade 1 teacher and 26 Class I SDN Kajhu Aceh Besar students. Data collection techniques in this study were observation and interviews. The results showed that: (1) There was no pre-written worksheets used in the pre-writing learning process at SDN Kajhu; (2) The teacher has never developed pre-written worksheets due to several things, namely: lack of knowledge of student worksheets development, no ideas to develop student worksheets and requires a relatively long time to develop worksheets; (3) Teachers need interesting worksheets to facilitate the learning process; (4) The teacher hopes that the developed worksheets will have good colors and layouts, so that they can motivate students to learn; (5) The teacher hopes that the developed worksheets are expected to help students in independent learning during the Covid 19 pandemic; (6) 41.3% of students had difficulty writing at the beginning; (7) Beginning writing is a skill that must be mastered by students in the K-13 curriculum. Thus it can be concluded that pre-writing worksheets with a process approach are needed by class I teachers and students of SDN Kajhu Aceh Besar as pre-writing teaching materials.
언택트 시대 가상 공간에서의 움직임과 소통: 미국 NDEO의 온라인 무용교육 사례 연구

This study originated from the problem-consciousness that it is necessary to discuss online dance experience and education effect from a learner’s perspective and attempt on a new teaching-learning method that combines dance practice and theory in virtual space. The purpose of the study is to explore the various requirements of online dance education based on the empirical example at the National Dance Education Organization in the United States.As a result of analysing the learning contents, teaching-learning methods, and learning outcomes of the online dance course, ‘Motif Notation Literacy through the Language of Dance® Approach: Your Move, Your Choreography’, I drew out several requirements: preparing online learner manuals, establishing an weekly communication system via online, establishing an emotional relationship between instructor and learners(also between learners), instructor’s support to learners as a facilitator, developing learner-led curriculum, nationwide networking of dance communities, and finding ways to connect learners’ majors or jobs with online dance courses. The results of this study are significant in that they suggested a teaching-learning method, online dance pedagogy, and online communication system applicable to online dance education in South Korea.
The Impact of the Difference Signal on the Perceived Loudness of a Piece of Stereo Rock Music : A Comparison Between Headphones and Loudspeakers

The purpose of this study was to evaluate how the BS.1770 Loudness Standard is affected by the amount of difference signal present in the signal being measured, and if this affection is different b ...
LSC-North Harris Library Research Guides: READ: Mystery

Virtually browse the LSC-North Harris Library Leisure Reading collection to find something that peaks your interest.
Design and Development of Mathematics and Basic Indonesian Learning Tools for Early Children Based on Android

It is media learning. Using advanced Android smartphones also evolved from manual to digital learning media. However, the rapid development of the era does not shed light on advancing learning methods in the educational institution, as PAUD Kamboja, Tanjung Gadang Sub- District, which still uses manual learning methods today. PAUD Kamboja needs different media to help the learning process, such as using digital media as android applications. Actionscript 3.0 is designed and built using Adobe Flash Professional CS6 software and language. Support is also an android-based AdobeAIR application, used as a drive or runtime.
Library Research Guides: Multimedia Source Material: Attribution

Use this guide to find source material for projects and learn how to correctly attribute that material.
Factual Error Correction of Claims.

This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is supported by evidence. This serves two purposes: firstly this provides a mechanism to correct written texts that contain misinformation, and secondly, this acts as an inherent explanation for claims already partially supported by evidence. We demonstrate that factual error correction is possible without the need for any additional training data using distant-supervision and retrieved evidence. We release a dataset of 65,000 instances, based on a recent fact verification dataset, to compare our distantly-supervised method to a fully supervised ceiling system. Our manual evaluation indicates which automated evaluation metrics best correlate with human judgements of factuality and whether errors were actually corrected.
Set Theoretic Rajan Transform and its Properties

In this paper, we describe the formulation of a novel transform called Set Theoretic Rajan Transform (STRT) which is an extension of Rajan Transform (RT). RT is a coding morphism by which a number sequence (integer, rational, real, or complex) of length equal to any power of two is transformed into a highly correlated number sequence of same length. STRT was introduced by G. Sathya. In STRT, RT is applied to a sequence of sets instead of sequences of numbers. Here the union (U) is analogous to addition (+) operation and symmetric difference (~) is analogous to subtraction (-). This transform satisfies some interesting set theoretic properties like Cyclic Shift Invariance, Dyadic Shift invariance, Graphical Inverse Invariance. This paper explains in detail about STRT and all of its set theoretic properties.
KOMUNIKASI VIRTUAL MAHASISWA DALAM PERKULIAHAN NON TATAP MUKA

The spread of the Covid-19 virus resulted in social restrictions being imposed until all teaching and learning processes were hampered, through online learning students can learn as usual and will not miss lecture material, and more flexible time. This research was conducted with a descriptive survey research method, the sample in this study was KPI IAIN Curup students. Data collection techniques using interviews and questionnaires. The results showed that the location of students for online lectures from 32 students as many as 78.1% who answered at home, 21.9% answered at the home of a family/neighbor who had a good internet network. When asked to students the extent to which the material delivered through online lectures, 43.8% of students answered can be understood, 3.1% of students answered very understood, 43.8% of students answered sometimes understood and 9.4% of students answered not understood. 68.8% of students choose face-to-face lectures and 31.2% of students choose online lectures. The results showed that there were still many students who had difficulties due to internet network problems and not all material could be absorbed easily as when lecturers explained in class face to face.
Lottery Ticket Hypothesis: Placing the k-orrect Bets

Neural Network pruning has been one of the widely used techniques for reducing parameter count from an over-parametrized network. In the paper titled Deconstructing Lottery Tickets, the authors showed that pruning is a way of training, which we extend to show that pruning a well-trained network at initialization does not exhibit significant gains in accuracy. Stabilizing the Lottery Ticket Hypothesis motivates us to explore pruning after $$k^{th}$$ epoch. We show that there exists a minimum value of k above which there is insignificant gain in accuracy, and the network enjoys a maximum level of pruning at this value of k while maintaining or increasing the accuracy of the original network. We test our claims on MNIST, CIFAR10, and CIFAR100 with small architectures such as lenet-300-100, Conv-2,4,6, and more extensive networks such as Resnet-20. We then discuss why pruning at initialization does not result in considerable benefits compared to pruning at k.
패러디를 활용한 비판적 읽기 향상 훈련 -『거인이 들려주는 이야기』를 기반으로 -

This study aims to raise the question how dangerous it is to acccept the children''s literature that readers often encounter in real life without being critically conscious, and to foster an attitude that allows readers to accept texts in all languages from a critical perspective. Learners of this study have prior knowledge in advance to improve their critical reading skills with Jack and the Beanstalk. Therefore enhancement of the critical reading abilities in the previous study results in a positive effect. A parody, Trust me! Jack’s beanstalk stinks!, was employed to discern students'' critical abilities and how the parody affected them and to test the improvement of their critical abilities. Similar to the previous study, using the instructor''s problem-posing questions, the learners discussed with each other and practiced critical thinking by investigating the intended appearance, gender, racism, gender role, writer''s ideology and stereotypes in the text. The learners showed a better effect on their critical reading abilities in this activity, which were not shown in the previous study. After their reading activity, the learners created and presented their parody by changing their own perspectives, with different protagonists, and so on to see how the parody literature affects critical reading abilities. Thus, the parody enhanced the learners'' creativity. The duration of the study was not long and there were four participants, however, learning with a parody enabled one to have a positive effect on critical reading and gain a learning effect to ameliorate creativity through parody writing.
Mitigating Silence in Compliance Terminology during Parsing of Utterances

This paper reports on an approach to increase multi-token-term recall in a parsing task. We use a compliance-domain parser to extract, during the process of parsing raw text, terms that are unlisted in the terminology. The parser uses a similarity measure (Generalized Dice Coefficient) between listed terms and unlisted term candidates to (i) determine term status, (ii) serve putative terms to the parser, (iii) decrease parsing complexity by glomming multi-tokens as lexical singletons, and (iv) automatically augment the terminology after parsing of an utterance completes. We illustrate a small experiment with examples from the tax-and-regulations domain. Bootstrapping the parsing process to detect out- of-vocabulary terms at runtime increases parsing accuracy in addition to producing other benefits to a natural-language-processing pipeline, which translates arithmetic calculations written in English into computer-executable operations.
General patterns and language variation: Word frequencies across English, German, and Chinese

Cross-linguistic studies of concepts provide valuable insights for the investigation of the mental lexicon. Recent developments of cross-linguistic databases facilitate an exploration of a diverse set of languages on the basis of comparative concepts. These databases make use of a well-established reference catalog, the Concepticon, which is built from concept lists published in linguistics. A recently released feature of the Concepticon includes data on norms, ratings, and relations for words and concepts. The present study used data on word frequencies to test two hypotheses. First, I examined the assumption that related languages (i.e., English and German) share concepts with more similar frequencies than non-related languages (i.e., English and Chinese). Second, the variation of frequencies across both language pairs was explored to answer the question of whether the related languages share fewer concepts with a large difference between the frequency than the non-related languages. The findings indicate that related languages experience less variation in their frequencies. If there is variation, it seems to be due to cultural and structural differences. The implications of this study are far-reaching in that it exemplifies the use of cross-linguistic data for the study of the mental lexicon.
3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis

Semantic image synthesis models suffer from training instabilities and poor image quality when trained with adversarial supervision alone. Historically, this was alleviated via an additional VGG-based perceptual loss. Hence, we propose a new simplified GAN model, which needs only adversarial supervision to achieve high-quality results. In doing so, we also show that the VGG supervision decreases image diversity and can hurt image quality. We achieve the improvement by re-designing the discriminator as a semantic segmentation network. The resulting stronger supervision makes the VGG loss obsolete. Moreover, in contrast to previous work, we enable high-quality multi-modal image synthesis through a novel noise sampling scheme. Compared to the state of the art, we achieve an average improvement of 6 FID and 7 mIoU.
ESTÉTICA E SAÚDE DO SISTEMA TEGUMENTAR: QUESTIONAMENTOS DE ALUNOS DO ENSINO MÉDIO INTEGRADO / AESTHETICS AND HEALTH OF THE TEGUMENTARY SYSTEM: QUESTIONS FROM INTEGRATED HIGH SCHOOL STUDENTS

This study aims to analyze the main doubts and curiosities from 78 students of the Integrated High School at the Farroupilha Federal Institute -campus Santo Ângelo regarding to the special care in the aesthetics and health area mainly focusing the tegumentary tissue and its attachments.The research has a descriptive character, in a qualitative-quantitative and sectional approach.Data were collected in classroom through an open question, tabulated and categorized according to Bardin Content Analysis Technique (2016).Simple descriptive statistics was also used with percentage calculation by category of responses.It was found that on the studied group the main doubts refer to the questions related to
Pengaruh Media Pembelajaran Berbasis Komputer Terhadap Keterampilan Menulis Dalam Pembelajaran Bahasa Indonesia Pada Siswa Sekolah Dasar Di Padang Sidempuan

This study aims to see the effect of computer-based learning media on the skills written in Indonesian language learning for elementary school students in Padang Sidempuan. The student population of this school is the fifth and sixth grade students of primary school in Padang Sidempuan. This research was conducted in the odd semester of the 2020-2021. The sample selection method used was the random sampling method and the intake group, the sample consisted of two classes, namely class V and class VI as the experimental class. The data technique used was observation and tests. The validity test of the instrument was carried out by expert judgment and the learning outcome test instrument was added with item analysis, namely calculating the level of difficulty and differentiation. The reliability test for the learning outcome test instrument was calculated using the Kuder-Richardson formula (KR-20). The data analysis technique used for the trial was the t-test technique with two independent samples. In accordance with the problems examined in this study, the technology readiness level (TKT) in the PDP scheme is 1-3 Keywords: The Influence of Learning Media, Computer Based Learning Media, Writing Skills, Random Sampling, Intake Group
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity

Adversarial attacks pose a major challenge for modern deep neural networks. Recent advancements show that adversarially robust generalization requires a huge amount of labeled data for training. If annotation becomes a burden, can unlabeled data help bridge the gap? In this paper, we propose ARMOURED, an adversarially robust training method based on semi-supervised learning that consists of two components. The first component applies multi-view learning to simultaneously optimize multiple independent networks and utilizes unlabeled data to enforce labeling consistency. The second component reduces adversarial transferability among the networks via diversity regularizers inspired by determinantal point processes and entropy maximization. Experimental results show that under small perturbation budgets, ARMOURED is robust against strong adaptive adversaries. Notably, ARMOURED does not rely on generating adversarial samples during training. When used in combination with adversarial training, ARMOURED achieves state-of-the-art robustness against l∞ and l2 attacks for a range of perturbation budgets, while maintaining high accuracy on clean samples. We demonstrate the robustness of ARMOURED on CIFAR-10 and SVHN datasets against state-of-the-art benchmarks in adversarial robust training.
Peran Sistem Informasi Manajemen Dalam Meningkatkan Kinerja Organisasi

Infoermation is the important element in an organization. Management function which are planning, organizing, actuating, and controlling require a quick, correct, and accurate information. The informationis also needed by the manager in decision making, so that, we need a system for managing the data to be qualified information. The system is called information system. It is built by the organizational functions, where the interaction of collectivity the information system is called Management Information System (MIS). The existence of the MIS will give a positive contribution to improve the organizational performance.
Pengembangan Media Kartu Huruf Latin Untuk melatih Kemampuan Menulis Tegak Bersambung Siswa SD

Abstract: Learning media is a meansthat can beused tostimulate students' thoughts, feelings, attention and abilitie sorskill ssothatthey canen courage theteaching and learning process. Writing up rightis the activity of producing continu ouslet ters thatare carried out without lifting the writing tool where the letter sare connected by line sorcombining lines which are useful for increasing writing speed. The research objective is to develop Latin lettercard media. This study uses a researchand Development model approachby Borg and Gallin Wahyudi. This development stage consists of sevenstages, namely potential sand problems, data collection, product design, design validation, design revision, product testing, andproductrevision. Research ersusedthe Borg and Gall model in Wahyudi becausethis model is a model common lyu sed and applied in development research. The results of theresearch on Latin letter card media can be seen from the assessment of material expertstoget a score of 85% with a fairly decent category. Media experts get a score of 65% in a fairly decent category. Linguists got a score of 73% in the decent category
Research on Large-Scale Solar Ray Tracing Based on Ray Adaptation

Accurate capture of solar rays can improve the solar energy utilization rate of solar devices, especially concentrated solar devices. The existing concentrated solar power generation system mainly adopts the methods of program control, sensor control and joint control of program and sensor. In order to improve the speed of ray tracing algorithm, a fast algorithm for traversing three-dimensional straight line uniform voxels is proposed. In this structure, the empty nodes of octree model are adaptively aggregated into bounding volumes, which reduces the intersection times of light and empty nodes as much as possible. Then, empty spatial grids are gathered adaptively with fewer empty boxes to speed up the calculation of ray tracing. The running speed of this algorithm is increased by about 56.5% compared with the existing fastest single-step algorithm, which greatly improves the efficiency of ray tracing, and can be realized only by using simple integer operation.