Reviewerly/exHarmony huggingface dataset:
German Learning for Students with Special Needs at SMAN 9 Malang

This study aims to describe the process of learning German for student with special needs at SMAN 9 Malang, to identify problems faced by teacher in the process of learning German in student with special needs at SMAN 9 Malang, and to identify the efforts made by the teacher to overcome the problems which arise in the learning process . This study used qualitative-descriptive research method. The results of this study indicated that the process of learning German at SMAN 9 Malang implemented a full inclusion learning model. Materials, media, and evaluation sheets given to student with special needs were the same as those given to regular students. Problems faced by teacher during the learning process were the problem of achieving learning goals, behavior, concentration, and motivation. The teacher's efforts to overcome the problem of achieving learning objectives and material problems are by simplifying the delivery of material with the availability of special guidance teacher . In addition, German teacher assisted by a special guidance teacher would always guide and lead student with special needs with the aim of controlling behavior to be enthusiastic in participating in German learning activities. Keywords: Learning, German, Student with Special Needs
A Numerical Perspective on the Jaynes-Cummings Model Wigner Function

The Wigner function appeared to discuss the quantum correction of thermodynamic equilibrium, and it has become a tool for the analysis of quantum systems, especially the harmonic oscillator, which states describe the quantum field in a cavity. We discuss a matrix approach for the computation of the Wigner function. The numerical techniques here discussed are applied to obtain the time-dependent Wigner function of the field for the Jaynes-Cummings Model, which is widely known to describe the fundamental matter-field interactions in aperfect cavity.
Dealing with Limited Access to Data: Comparison of Deep Learning Approaches

Nowadays deep learning is a tool, which is used in many different pattern recognition problems. For achieving strong results, which are reported in literature, often large amounts of data are necessary. In many use cases collecting or labeling data is very difficult or not possible at all. The aim of this paper is to compare three different algorithmic approaches in order to deal with limited access to labeled and unlabeled data. The drawbacks and benefits of each method are shown and compared to each other. A successful algorithmic approach, which is especially successful for one- and few-shot learning problems, is the usage of external data during the classification task. In this paper siamese neural networks will be investigated in order to evaluate how the usage of external data improves the accuracy. Another widely used approach is consistency regularization. Using consistency regularization state of the art results in semi-supervised learning (SSL) benchmarks are achieved. Virtual adversarial training (VAT) has shown strong results and is chosen as a representative algorithm for consistency regularization. The last approach is the usage of generative adversarial networks (GANs). In literature GANs are often used in order to create additional data and therefor to increase the generalization capability of the classification network. Furthermore the usage of unlabeled data for further performance improvement is considered. The use of unlabeled data is investigated for GANs and VAT.
Adventures in Primo boosting: Exploring the black box and demystifying search results

Primo is one of many tools available to discover content, and it's one of the few which libraries have some power to control. Primo needs to be many things: a starting point for a first year undergraduate, a deep exploration for a seasoned researcher, and a quick access pathway for all. Each user may have very different needs and expectations from their top Primo results. How do we really know how effective Primo is for each user when the results can seem to be drawn mysteriously from a magical black box? This presentation seeks to demystify the box by analysing the top 100 searches in 2017 and 2018 for the University of Queensland Library, by Popular Search subject area in Primo Analytics and also Google Analytics. It will cover assessment of raw data findings, analysis of results grouped by known item versus topic searches, exploration of the available boosting options, as well as detailing successful and unsuccessful attempts to improve ranking outcomes.
숙달도를 고려한 한국어 교재 단원의 주제에 대한 연구-국제 통용 한국어 표준 교육과정과의 비교를 중심으로-

The purpose of this study is to find a way to select the subjects of Korean language teaching materials considering proficiency. To this end, the subject area of the Korean language unit was compared with the Internationally Circulated Standard Korean Language Curriculum(ICSKLC). There are topics that should be more essential and prioritized for learners of a particular level of proficiency. When selecting subjects according to the proficiency of Korean learners, reference should be made to certified materials, as should the list of ICSKLC. In addition, when there is a problem or omission by comparing ICSKLC with teaching materials, they should be checked and supplemented with each other. This study compared Korean language textbooks with ICSKLC to see if the list of topics is appropriate. The results are as follows. First, many of the subjects in the Korean language textbook were not on the subject of ICSKLC. Instead, those that correspond to functional, cultural, and textual areas were chosen as the subject of the unit. Second, there was a lack of similarity of subject between Korean textbooks of the same level. This makes it possible for learners of the same level to learn different subjects. Third, missing from the list of topics in ICSKLC were included in the textbook. This is related to the fact that the textbooks that were referred to in the construction of ICSKLC are not the latest ones. In order to correct topics that do not fit between ICSKLC and Korean language textbooks, this study makes some suggestions. First, the subject of the unit should be appropriate to the concept of the ‘topic’ rather than to conform to the functional, cultural and textual characteristics. Second, topics that best suit learners’ proficiency should be selected. Third, it is necessary to supplement the list of topics for ICSKLC by analyzing the latest Korean language textbooks. (Kyonggi University)
Developing smart assignment management system using Quick Response (QR) code / Wan Muhammad Khair Mohd Nasir

Assignment management is one of the important things that need to be organized properly because it can affect the student. Nowadays, the use of Quick Response (QR) code has become trending especially when it is used in education. At this moment, student always unaware about their assignment which always leads to tale submitting the assignment since the delivered information sometimes overlooked. Lecturer also having a hard time to check who already submit the assignment because of too many students. Therefore, this project has proposed Smart Class application which has been developed with QR code technology. By using this application, student will get the information via notifications and lecturer just view who did not submit the assignment yet. The developed application has been evaluated using usability, accuracy and performance testing. The result from the testing shows a positive feedback which is around 84.8% are strongly agreed and satisfied with the application. For future work, reminder module is recommended to be integrated with this application because its related to the due dates of the assignment. On the other hand, chat module also can be implemented for student and lecturer as a platform to communicate with each other.
Battery Performance Comparison Of Unreal Engine 4 And Unity Applications Running On Android

This thesis evaluates the battery performance of two widely known game engines and compares the results to find the most battery friendly choice. Unity and Unreal Engine 4 are the two engines being ...
개화기 일본 간행 한국어 학습서 『일한통화(日韓通話)』(1908)와 『독학한어대성(獨學韓語大成)』(1908)의 음운 현상 고찰

The purpose of this study is to examine the Phonological Phenomena of the Korean language Learning Book 『Ilhantonghwa』 (日韓通話)(1908) and 『Dokhak Haneodaeseong』 (獨學 韓語大成)(1908) Published by Japan during the Enlightenment Period. From 1880 to 1926, 97 kinds of Korean language learning books were published in Japan. Two learning books were published for the purpose of exchanges between Korea and Japan.『Ilhantonghwa』 (日韓通話) was published six times, and 『Dokhak Haneodaeseong』 (獨學 韓語大成) was published seven times. 『Ilhantonghwa』 (日韓通話) was published from the first edition(1893) to the revised sixth edition(1908), 『Dokhak Haneodaeseong』 (獨學 韓語大成) was published to the seventh edition(1911) after the publication of the first edition(1905). I will look at the Phonological Phenomena characteristics of 『Ilhantonghwa』 (日韓通話)(1908) and 『Dokhak Haneodaeseong』 (獨學 韓語大成)(1908), which are at the same time.Both texts were mainly used for the Enlightenment Period and were compiled for practical use of communication. It can be assumed that these texts reflect pronunciation and orthography of the language at the time. Also, since the book was published several times, the utilization of the learning books would be high. On the other hand, I will analyze the difference by focusing on the fact that the authors of the two textbooks are different in occupation and activity areas.『Ilhantonghwa『(日韓通話) is compiled by Gokubu Gunio(國分國夫) and his brother, Gokubu Shotaro(國分象太郎) will make corrections and additional edits. All of them were Korean-language scholars and later Shotaro participated in making the 「General School(普通學校用) Eonmun orthography」(諺文綴字法)(1912). However, the author of the 『Dokhak Haneodaeseong』 (獨學 韓語大成) Ito Ikichi(伊藤伊吉) is a person engaged in commercial. The difference of these identities may have influenced the writing of the writer''s consciousness or the learning books.Based on the use of the learning book and the expression of the identity of the author, Palatalization, Glottalization, labialization, High-Vowelization And so on. Through this there are several examples that reflect palatalization and the example that reflects word-initial Glottalization and Word-mid Glottalization is characteristic. I also found that labialization, high-vowelization, and front-vowelization were applied. This feature can be said to be a phonological phenomenon because the two textbooks are conversational books for practical use.
Threshold Implementations in the Robust Probing Model.

Threshold Implementations (TI) are provably secure algorithmic countermeasures against side-channel attacks in the form of differential power analysis. The strength of TI lies in its minimal algorithmic requirements. These requirements have been studied over more than 10 years and many efficient implementations for symmetric primitives have been proposed. Thus, over the years the practice of protecting implementations matured, however, the theory behind threshold implementations remained the same. In this work, we revise this theory by looking at the properties of correctness, non-completeness, and uniformity as a composable security model. We prove that this model provides first-order and higher-order univariate security in the glitch-robust probing model which lets us expand the theoretic framework of TI. We first provide a link between uniformity and the notion of non-interference, a known composable security notion building out the probing model. We then relax the notion of non-completeness which helps the design of secure expansion and compression functions. Lastly, we provide generalisations of the threshold notions to allow for general secret sharing schemes and provide examples of how different sharing schemes affect the security and efficiency of the countermeasure.
Visualizing Learners’ Navigation Behaviour using 360 Degrees Interactive Videos

The use of 360-degrees interactive videos for educational purposes in the medical field has increased in recent years, as well as the use of virtual reality in general. Learner’s navigation behavior in 360-degrees interactive video learning environments has not been thoroughly explored yet. In this paper, a dataset of interactions generated by 80 students working in 16 groups while learning about patient trauma treatment using 360-degrees interactive videos is used to visualize learners’ navigation behavior. Three visualization approaches were designed and implemented for exploring users’ navigation paths and patterns of interaction with the learning materials are presented and discussed. The visualization tool was developed to explore the issues above and it provides a comprehensive overview of the navigation paths and patterns. A user study with four experts in the information visualization field has revealed the advantages and drawbacks of our solution. The paper concludes by providing some suggestions for improvements of the proposed visualizations.
과학교육에서의 다문화적 맥락을 중심으로 한 캐나다와 한국의 초등과학과 교육과정 비교 분석

The purpose of this study was to develop a framework focusing on multicultural contexts and science education contents, and to analyze 3rd to 6th grade elementary science curricula of the 2007 revised Ontario science and technology in Canada with the 2009 revised and 2015 revised national science curricular in Korea. The framework’s horizontal axis was divided into four levels: the contribution approach, the additive approach, the transformation approach and the social action approach, while its vertical axis was comprised of ‘situation’, ‘components’ and ‘performance.’ Based on the criteria, the author quantitatively compared the curricula of the two countries. Furthermore, examples concerned with multicultural contexts were discerned from the goals, expectations, strands, topics, assessment and other considerations for program planning in science. In the 2007 revised Ontario curriculum for science and technology, it clarified that the diversity of student cultural backgrounds should not only be respected and supported for adjustment to the new learning environment, but also that it should be considered as intercultural education perspectives. On the other hand, the 2009 revised and 2015 revised Korean national curriculum for science did not deliver on the importance of multicultural science education as written instructions. This study suggested that the Korean national curriculum for science needs to have learning materials showing respect for cultural diversity or diverse people working on scientific activities or careers. Moreover, definite directions and perspectives on multicultural science education should be established in the national science curriculum. The results of this study could be useful for the development, reconstitution, or improvement of science curriculum for teaching multicultural students concurrently.
SEUSS: Rapid serverless deployment using environment snapshots.

Modern FaaS systems perform well in the case of repeat executions when function working sets stay small. However, these platforms are less effective when applied to more complex, large-scale and dynamic workloads. In this paper, we introduce SEUSS (serverless execution via unikernel snapshot stacks), a new system-level approach for rapidly deploying serverless functions. Through our approach, we demonstrate orders of magnitude improvements in function start times and cacheability, which improves common re-execution paths while also unlocking previously-unsupported large-scale bursty workloads.
Automatic Syntax Error Reporting and Recovery in Parsing Expression Grammars

Error recovery is an essential feature for a parser that should be plugged in Integrated Development Environments (IDEs), which must build Abstract Syntax Trees (ASTs) even for syntactically invalid programs in order to offer features such as automated refactoring and code completion. Parsing Expressions Grammars (PEGs) are a formalism that naturally describes recursive top-down parsers using a restricted form of backtracking. Labeled failures are a conservative extension of PEGs that adds an error reporting mechanism for PEG parsers, and these labels can also be associated with recovery expressions to provide an error recovery mechanism. These expressions can use the full expressivity of PEGs to recover from syntactic errors. Manually annotating a large grammar with labels and recovery expressions can be difficult. In this work, we present two approaches, Standard and Unique, to automatically annotate a PEG with labels, and to build their corresponding recovery expressions. The Standard approach annotates a grammar in a way similar to manual annotation, but it may insert labels incorrectly, while the Unique approach is more conservative to annotate a grammar and does not insert labels incorrectly. We evaluate both approaches by using them to generate error recovering parsers for four programming languages: Titan, C, Pascal and Java. In our evaluation, the parsers produced using the Standard approach, after a manual intervention to remove the labels incorrectly added, gave an acceptable recovery for at least 70% of the files in each language. By it turn, the acceptable recovery rate of the parsers produced via the Unique approach, without the need of manual intervention, ranged from 41% to 76%.
Long-distance dynamical entanglement transfer via a chiral waveguide

Quantum networks provide a prominent platform for realizing quantum information processing and quantum communication, with entanglement being a key resource in such applications. Here, we describe the dissipative transport protocol for entangled states, where entanglement stored in the first node of quantum network can be transported with high fidelity to the second node via a 1D chiral waveguide. In particular, we exploit the directional asymmetry in chirally-coupled single-mode ring resonators to transport entangled states. For the fully chiral waveguide, Bell states, multipartite $W$-states and and Dicke states can be transported with fidelity as high as $0.954$, despite the fact that the communication channel is noisy. Our proposal can be utilized for long-distance distribution of multipartite entangled states between the quantum nodes of the open quantum network.
Hermes: Improving Server Utilization by Colocation-Aware Runtime Systems

Improving server utilization is increasingly important to service providers. Latency-critical services have strict tail latency service-level objects and safe colocation of the latency-critical service with other workloads on the same machine is difficult. This would underutilize server resources. We present Hermes, a user-level resource management layer to address this dilemma. We implement two kinds of runtime systems in Hermes, one for latency-critical workloads (LC runtime) and one for best-effort workloads (BE runtime). LC runtime implements user-level thread management and controls the dedicated computing resources occupied by latency-critical workload through a feedback-based controller. BE runtimes schedule threads of best-effort workloads to take advantage of simultaneous multithreading technology. Runtime systems are aware of their colocation and work in a cooperative approach to improve server utlization without violating the tail latency service-level objects of the latency-critical workload. Hermes is implemented entirely at user-level on Linux. We evaluate Hermes using memcached and several sythetic micro-benchmarks, the result shows that Hermes could achieve both safe colocation and improvement of core utilization.
Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification

Person re-identification (Re-ID) aims at matching images of the same person where images are captured by non-overlapping camera views distributed at different locations. To solve this problem, most recent works require a large pre-labeled dataset for training a deep model. These methods are not always suitable for real-world applications, because the latter often lack labeled data. In order to tackle this drawback, we proposed a novel Domain-Invariant Embedding Network (DIEN) to learn a domain-invariant embedding (DIE) feature by introducing a multi-loss joint learning with Recurrent Top- Down Attention (RTDA) mechanism. Due to the improvement in traditional triplet loss, our proposed model can benefit from both source-domain (labeled) data and target-domain (unlabeled) data. Furthermore, the resulting DIE feature not only has improved class discrimination but also robustness to domain shift. We compared our method with recent competitive algorithms and also evaluated the effectiveness of the proposed modules.
Perspektif Gender Novel Aroma Karsa Karya Dee Lestari dan Relevansinya dengan Bahan Ajar Di SMA

The purpose of this research is, (1) The sociohistorical setting of Dee Lestari, (2) To describe the structure of the novel Aroma Karsa by Dee Lestari, (3) To describe gender perspective of the novel Aroma Karsa by Dee Lestari by feminist literature review, (4) To describe the relevance as Indonesian language teaching material in high school. The method that used in this research is descriptive qualitative, strategy that used in this research is fixed case study. Techniques of data collection is done by content analysis technique namely literature study, data validation techniques with triangulation theory. Data analysis techniques of this research using semiotics reading method, namely heutistic and hermeneutic readings. Gender perspective in Aroma Karsa by Dee Lestari consists of gender equality and gender inequality. The result of this research is: (1) The sociohistorical background of Dee Lestari with with real name Dee Lestari Simatupang is a writer born in Bandung, 20 January 1976, (2) Structur of novel Aroma Karsa from theme about aroma and smell, mix groove, compossed by three round character and four flat character, and have place setting, time setting, and culture setting, (3) ) Gender quality in this novel consists of women existence in education, women existence in work, and women existence in society. Gender inequality in this novel consists of gender and marginalization, gender and subordination, gender and stereotype, gender and violence, and gender and double load, (4) Relevance with learning education in high school on 3.9 KD grade XII, criteria of literary covers three things teaching material, linguistic aspect, psylogical aspect, and student cultural background.
LibGuides: Digital Media Lab: Introduction: Home

This guide will help you navigate all the amazing technology we have available for you to use when creating your own media projects!
Managing the challenges of event sourcing : Versioning and incorrect states

Event sourcing has caught the interest of many developers due to desirable features such as an implicit audit log and a simplified database design. This thesis presents a case study with a focus on ...
Context-Aware Network for 3D Human Pose Estimation from Monocular RGB Image

Convolutional Neural Network (CNN) has brought tremendous improvements in estimating 3D human pose from a monocular RGB image. However, the task of 3D human pose estimation still remains extremely challenging, especially when the task is geared towards estimating the depth of human body parts. Different from 2D human pose estimation, which focuses on the fusion of spatial information and context information, depth estimation demands more context information. Inspired by this, we build a Context-Aware Network (CAN) which can fully explore the context information to discover the underlying relationships among different body parts. The key ingredient of our network is High-Level Depth Estimation Module (HLDEM) designed to extract context information effectively. Additionally, multi-scale supervision is introduced in our network to extract context information at different scales. Experimental results show that our network achieves competitive performance compared with state-of-the-art methods on Human3.6M dataset.