Reviewerly/exHarmony huggingface dataset:
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

We propose an interactive GAN-based sketch-to-image translation method that helps novice users create images of simple objects. As the user starts to draw a sketch of a desired object type, the network interactively recommends plausible completions, and shows a corresponding synthesized image to the user. This enables a feedback loop, where the user can edit their sketch based on the network's recommendations, visualizing both the completed shape and final rendered image while they draw. In order to use a single trained model across a wide array of object classes, we introduce a gating-based approach for class conditioning, which allows us to generate distinct classes without feature mixing, from a single generator network. Video available at our website: this https URL.
About some aspects of the educational system of the university

The publication identifies the problem that arises in the era of change of values and ideals and the difficulties that young people face in this situation. As an effective factor that solves this rather complex task, one and the established areas of extracurricular educational work with students, based on historical and local history material, are presented. The concept of “social adaptation of students” in the practical development of extracurricular activities, combining various aspects of educational and extracurricular processes, is considered.
ESTIMASI KURVA REGRESI NONPARAMETRIK MENGGUNAKAN SPLINE TRUNCATED

The purpose of this research is to find out whether the spline truncated method depends on the distribution of error. Simulation data from trigonometry function with different error distribution are used. The result of this research shows that the distribution of error affected the estimation of spline truncated function. The spline function is estimated better when error is normally distributed than nonnormally distributed.Tujuan dari penelitian ini adalah untuk mengetahui apakah metode spline truncated bergantung pada distribusi galat. Simulasi data dari fungsi trigonometri dengan menggunakan distribusi galat yang berbeda. Hasil dari penelitian ini menunjukkan bahwa distribusi galat memengaruhi estimasi spline truncated. Fungsi spline diperkirakan lebih baik ketika galat berdistribusi normal dibandingkan galat berdistribusi tidak normal.
STAKEFINDER – AN IMPROVED STAKEHOLDER IDENTIFICATION TECHNIQUE USING RECURRENCE VALUE

Stakeholder identification is important activity in requirements engineering. Stakeholder identification and prioritization is equally difficult as gathering the requirements from the users in the software development life cycle. After identifying the stakeholders, they need to be prioritized according to the impact they have on the system. StakeRare is a method that uses social networks and collaborative filtering to identify and prioritize requirements in software projects. Stake Rare uses Page Ranking method to identify stakeholders and asks them to recommend other stakeholders and stakeholder roles. Then a social network is built with stakeholders as nodes and their recommendations as links, and prioritizes stakeholders using a variety of social measures to determine their project influence. In this paper a new method is proposed, Stakefinder which is an improved version of Stake Rare using a new measure called recurrence value which will be used to finalize and prioritize the stakeholders. Recurrence value of a stakeholder is nothing but the number of times a stakeholder is recommended by others. That is, if you are a stakeholder you can recommend other stakeholders whom you think are important for the project.
CLAREL: Classification via retrieval loss for zero-shot learning

We address the problem of learning fine-grained cross-modal representations. We propose an instance-based deep metric learning approach in joint visual and textual space. The key novelty of this paper is that it shows that using per-image semantic supervision leads to substantial improvement in zero-shot performance over using class-only supervision. On top of that, we provide a probabilistic justification for a metric rescaling approach that solves a very common problem in the generalized zero-shot learning setting, i.e., classifying test images from unseen classes as one of the classes seen during training. We evaluate our approach on two fine-grained zero-shot learning datasets: CUB and FLOWERS. We find that on the generalized zero-shot classification task CLAREL consistently outperforms the existing approaches on both datasets.
The Return of Anne of Green Gables: Focusing on Anne Shirley’s Psychological Self-Help and Emotional Narrative of Confession

Lucy M. Montgomery’s Anne of Green Gables (1908) has enjoyed long-standing popularity since its first Korean translation in the early 1960s. However, the recent return of this beloved Canadian classic took a somewhat unexpected form. In 21st century Korea, Anne Shirely, the novel’s heroine, is a therapeutic mentor of positivity and hope. Through a critical examination of Anne’s upbringing and education, this paper explores the context in which Anne of Green Gables is resonating in the contemporary Korean society. In so doing, this paper examines how Anne’s power of imagination, previously understood within the culture and literature of girlhood, became a source of healing for the belabored subject of contemporary capitalism.
고교학점제 학생 선택형 교육과정 편성 과정에 나타난 쟁점과 과제

The purpose of this study is to analyze the process of organization of selective curriculum in high schools which has already implemented this policy and to examine the significant issues and tasks in this procedures. To achieve this purpose, firstly this study explored the major features of organiz...
Enhancing Traffic Scene Predictions with Generative Adversarial Networks

We present a new two-stage pipeline for predicting frames of traffic scenes where relevant objects can still reliably be detected. Using a recent video prediction network, we first generate a sequence of future frames based on past frames. A second network then enhances these frames in order to make them appear more realistic. This ensures the quality of the predicted frames to be sufficient to enable accurate detection of objects, which is especially important for autonomously driving cars. To verify this two-stage approach, we conducted experiments on the Cityscapes dataset. For enhancing, we trained two image-to-image translation methods based on generative adversarial networks, one for blind motion deblurring and one for image super-resolution. All resulting predictions were quantitatively evaluated using both traditional metrics and a state-of-the-art object detection network showing that the enhanced frames appear qualitatively improved. While the traditional image comparison metrics, i.e., MSE, PSNR, and SSIM, failed to confirm this visual impression, the object detection evaluation resembles it well. The best performing prediction-enhancement pipeline is able to increase the average precision values for detecting cars by about 9% for each prediction step, compared to the non-enhanced predictions.
THE IMPLEMENTATION OF A COLLABORATIVE TECHNIQUE TO IMPROVE STUDENTS’ WRITING DESCRIPTIVE TEXT AT THE SECOND GRADE OF SMP MUTIARA BANGSA BANDAR LAMPUNG

This paper reports a study which examines the effectiveness of collaborative techniqueon students’ descriptive writing achievement and the aspect of writing that improves themost after the students were taught by using collaborative technique.The approach of the current research is quantitative with the experimental design.Sampling random technique was used to determine the sample. The subjects were29 of the second grade of SMP Mutiara Bangsa Bandar Lampung. The data comprisedwriting scores that were taken from the pretest and the post test and were analyzed byusing Repeated Measure T-test.The result of the reasearch shows that there is an increase of the students’ writing ofdescriptive text from pre test to post test after being taught through collaborativetechnique. The data were analyzed by using Paired Sample t-test in which thesignificance was determined by sign < 0.05. It was followed by vocabulary with thegain of 2.31 in which aspect that improved the most over content, grammar,organization, and mechanic. It is the collaborative technique which providestemporary guidance to the students to develop the ideas and construct a texteffectively. This suggests that collaborative technique can be used as an effectivetechnique to improve the students’ writing achievement.Keywords: writing, descriptive, collaborative technique
THE IMPLEMENTATION OF ENGLISH SONG IN TEACHING VOCABULARY AT THE FIRST GRADE OF SMAN 5 BANDAR LAMPUNG

Vocabulary is one of the important language components that has to be taught to support the learners in mastering language skill. Most of the students of SMAN 5 Bandar Lampung have several problems in mastering vocabulary, especially in term of content words. Consequently, it was very difficult for them to understand and communicate in English. It was the reason why vocabulary was very important as the basic need in learning a language. The researcher used English song as media to teach vocabulary.The aims of the study were to find out whether there was a significant improvement of the students’ vocabulary achievement after the implementation of English song as a media in teaching vocabulary and which type of content words which improved the most. The subjects of this research were 32 students of class X IPS2 of SMAN 5 Bandar Lampung 2018/2019 academic year. The instrument of this research was vocabulary test. The data were analyzed by using paired sample t-test with the significant level of p<0.05 through SPSS version 16.0.The result of this research showed that there was a significant improvment of students’ vocabulary mastery after being taught through English song. The result of t-test computation, t-value could be seen higher than t-table 6.070 > 2.039 and the value of significant level was 0.00<0.05. The difference of the mean score between the pretest and posttest increased from (57.81 to 73.58) with 15.77 of gain. In term of content words, noun is the most affected of vocabulary. Therefore, it can be concluded that there was a statistically significant increase of students’ vocabulary achievement after they were taught through songs. This suggests that English songs were effective to improve students’ vocabulary achievement.Keywords: Teaching vocabulary, English song, Vocabulary achievement.
Pengembangan Meja Potong Kain dengan Metode Reverse Engineering di UKM Pembuatan Cadar Al-Kubro di Desa Temboro

Al Qubro is one of Small Medium Enterprise (SME) niqab production in Temboro village. Several processes must be done to produce fabric becomes ready to wear a niqab. In the overlay process before the cutting process must be handled by two people. In this process, only skilled and experienced people who can handle it because the cutting process is the key to the best result of the product. Therefore the industries look forward to getting a solution to make this process can be handled by one person only and with more effective time. Base on the problem, this research was done to make or develop the design of a fabric cutting board to make the cutting process more effective and efficient. The developing of this cutting board was by using a reverse engineering method. This method observed the advantages and disadvantages of the conventional cutting board. Furthermore, it was compared with the advantages and disadvantages of the new cutting board. Based on the research on the redesign of the fabric cutting board in Al Qubro SME by reverse engineering method, the new design of fabric cutting board is suitable with the factory needs. Furthermore, from the comparison analysis, the new cutting board needs 14,6 minutes in one round of the cutting process. Otherwise, the conventional cutting boards need 26,7 minutes in one round of the cutting process. Moreover, the new design cutting boards need one handler only, whereas the conventional one needs two people. Keywords: Cutting Board, Reverse Engineering, Benchmarking
Comparison of Simulation Method and Animation Video on Knowledge Related to Preparedness of Elementary School Students in Ternate, Indonesia

Ternate location which passed by Pacific Ring of Fire made the area of Ternate have a high risk of experiencing volcanic eruptions. School as one of the stakeholders is responsible for improving the preparedness of students. Students are the most group vulnerable to disasters. Preparedness in reducing disaster risk that possessed by students is still relatively low, thus requires training for students to deal with disasters that cannot be predicted when it occurs. This study aimed to analyze the effectiveness of simulation and animation video methods in improving the knowledge related to preparedness among students. This study used pre-test posttest with control group design. The population in this study were fifth and sixth-grade students from four different schools which in the disaster-prone area in Ternate, North Maluku. Total respondent in this study was 90 respondents that were selected using purposive sampling technique, then divided into two groups: simulation and animation video methods. Data of knowledge and attitude variables were collected before and after training using a questionnaire. Data collected from this study were analyzed using the Wilcoxon and Mann Whitney tests (α=0.05) with SPSS 20. The result of this study was shown that there was a significant difference in knowledge between the two groups before and after an intervention. Both groups shown an improvement mean score in knowledge (from 5.02 to 7.38) Similarly, the video group (5.27 to 6.67, p=0.000). Comparison between the two methods shown that the simulation method obtained higher knowledge than the video method with a mean rank of 55.44 vs. 35.56 (p=0, 000).
CNN Performance Prediction on a CPU-based Edge Platform

The implementation of algorithms based on Deep Learning at edge visual systems is currently a challenge. In addition to accuracy, the network architecture also has an impact on inference performance in terms of throughput and power consumption. This demo showcases per-layer inference performance of various convolutional neural networks running at a low-cost edge platform. Furthermore, an empirical model is applied to predict processing time and power consumption prior to actually running the networks. A comparison between the prediction from our model and the actual inference performance is displayed in real time.
PEMANFAATAN TEKNOLOGI DALAM PROSES PEMBELAJARAN MENUJU PEMBELAJARAN ABAD 21

The application and adaptation of technology in learning spaces is a necessity in the face of changes in the era of globalization, the development of information and communication technology has had an influence on the world of education, especially in the learning process. Technological developments have led to innovative and creative learning models in the learning process. The network learning system (SPADA) has helped educators in facing the challenges of technological development. One learning model that can be applied in technological development is blended learning which is a combination of the advantages of face-to-face and virtual learning.
Scene Recognition for Mobile Robots Based on Time-series Images

This paper describes an image-based scene recognition method for autonomous navigation of mobile robots. Our robot localize self position by using scene recognition based on GIST descriptor and Support Vector Machine(SVM). GIST descriptor extracts spatial structure of a whole image and recognize scene robustly with SVM. We proposed more precise recognition method by using variation of time-series images. The proposed method is evaluated using real images in several conditions. As the result, the proposed method can recognize impressive place more correct.
Pengembangan Buku Pengayaan Materi Dinamika Hidrosfer sebagai Dasar Pengetahuan Bencana Banjir untuk Siswa Kelas X di Sekolah Menengah Atas Islam I Surakarta Berbasis Kurikulum 2013

The purposes of this research are 1. To know the feasibility of enrichment books in the dynamic of hydrosphere subject as a knowledge base for floods disasters for tenth grade students in Sekolah Menengah Atas Islam 1 Surakarta, 2. To know the effectiveness of enrichment books in the dynamic of hydrosphere subject as a knowledge base for flood disasters for the tenth grade in Sekolah Menengah Atas Islam 1 Surakarta. Type of this research is research and development (R&D), the researcher uses Sugiyono theory by following ten steps in his study which is then simplified into six steps. The study was conducted in Surakarta Islamic high school with research design called the Pretest-Posttest Control Group Design, using 2 classes, one for the experimental class and the other one for the control class. The analysis technique using T paired sampled t-test and N-Gain Score. Based on the results of the research, it was found that (1) The process of developing enrichment books through improving products made by experts. Media experts with an average value of 4,647 included in GOOD category and the results of research from respondents have an average of 4,224 also included in the GOOD category. (2) The significant value in the control and experimental classes showed a value of 0,000. Thus, the results of t-test showed H0 rejected and H1 accepted which found the significant difference by the knowledge and the understanding of students towards hydrosphere dynamic material as a flood disasters knowledge. The acquisition of average results using the N-Gain Score, so that the results of the effectiveness of enrichment books found in the control class is 0,43 included in the “MEDIUM” category and for experimental class is 0,75 included in the “HIGH” category. The enhancement of students learning outcomes in the experimental class 0,32 higher than the control class. In conclusion, the enrichment book developed has been feasible and effective in improving students learning outcomes.
APCs – How much should they cost?

Gold Open Access can be facilitated by an Article Processing Charge (APC), which refers to the author-facing charge levied for publishing an article openly in a specific journal. These charges vary significantly across journals and recently there has been a demand for publishers to be more transparent about how their APCs are calculated. Plan S has clearly set the need for transparency in its principles and implementations stating “When Open Access publication fees are applied, they must be commensurate with the publication services delivered and the structure of such fees must be transparent to inform the market and funders potential standardisation and capping of payments of fees”. This presentation will provide a landscape analysis of publishers, new initiatives (such as the new work just commissioned by the Wellcome and UKRI on behalf of cOAlition S on providing a framework to enable more transparent communication of OA publishing services and prices; http://www.informationpower.co.uk/news/press-release-transparent-comms-of-oa-services-and-prices/) and the current transparency around APCs and explore the range of direct and indirect costs of what constitutes an APC.
STEAM과 NCS를 융합한 웨딩메이크업 교수·학습 과정안 제안

This study combined STEAM and NCS, which are currently being conducted at the national level, and proposed a teaching and learning process for wedding-makeup classes. Through this study, we wanted to strengthen our ability as a fusion talent and professional person and indirectly experience the necessary tasks in the actual field of practice, thus enhancing our ability to solve problems by putting them into the workforce right after employment. Research found that the service sector needed cooperative learning because communication and communication with customers should be smooth, and the makeup field contained a lot of artistic elements, so the art was emphasized. In addition, unlike traditional makeup training, learners should take the initiative to solve the problem and cooperate to solve the problem As such, makeup education is expected to converge with a number of teaching models to provide more effective classes. This study also dealt with the NCS capacity unit wedding-makeup limitedly, but it is believed that the study of other units will have a positive impact on overall beauty education and NCS training.
OAuth Flows and OpenID Connect

In Chapter 1, we defined key terms related to Azure Active Directory. Before getting into the practical details of any technology, you must understand the standards that the technology is based upon. In this chapter, we will cover the following topics.
Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features : Notebook for PAN at CLEF 2019

Authorship attribution is a problem in information retrieval and computational linguistics that involves attributing authorship of an unknown document to an author within a set of candidate authors. Because of this, PAN-CLEF 2019 organized a shared task that involves creating a computational model that can determine the author of a fanfiction story. The task is cross-domain because of the open set of fandoms to which the documents belong. Additionally, the set of candidate authors is also open since the actual author of a document may not be among the candidate authors. We extracted character-level, word-level and syntactic information from the documents in order to train a support vector machine. Our approach yields an overall macro-averaged F1 score of 0.687 on the development data of the shared task. This is an improvement of 18.7% over the character-level lexical baseline. On the test data, our model achieves an overall macro F1 score of 0.644. We compare different feature types and find that character n-grams are the most informative feature type though all tested feature types contribute to the performance of the model.
Environmental Factors and Sustainability of Small and Medium-Sized Enterprises in Lagos Metropolitan Area, Lagos State, Nigeria

Abstract The study evaluated the effects of environmental factors on the sustainability of selected SMEs in Lagos metropolitan area . The study employed quantitative methodology using survey questionnaire. A total of 103 questionnaires were returned in analysable format from the SMEs’ owners/managers and analysed using percentages, correlational analysis, ANOVA and Multiple Regression. Findings revealed significant negative correlation between the environmental factors and Lagos SMEs sustainability at r = 0.336, P<.05. Also, the overall model showed that the explanatory variables explained 81.4% variations in SMEs sustainability at F = 28.936; p < 0.05 . In more detailed terms, nine major factors, all with p < 0.05, individually impacted the SMEs sustainability in the following order: Inadequate Power Supply at F = 20.664, Inadequate Infrastructure at F = 18.230, Inconsistent Government Policies at F = 13.062, Customer Dissatisfaction at F = 12.390, Lack of Employee Commitment at F = 10.082,  Managerial Inefficiency at F = 10.041, Harsh operating environment and Regulations at F = 5.172, Firm’s Location at F = 9.468, and Inappropriate Technology at F = 8.633. The study concluded that environmental factors, both organisational and government related impact the sustainability and survival of SMEs in the Lagos Metropolitan area of Lagos State, Nigeria.