Reviewerly/exHarmony huggingface dataset:
Virtual World Bridges the Real Challenge: Automated Data Generation for Autonomous Driving.

In autonomous driving research, one of the bottlenecks is the shortage of a well-annotated dataset to train deep neural networks for object detection. Specifically, a dataset focusing on harsh weather conditions is insufficient. The purpose of this research is to explore the power of utilizing synthetic data for training object detection deep neural networks under harsh weather conditions. We introduce a state-of-the-art automated pipeline to collect synthetic images from a high realism video game and generate training data which can be used for training an autonomous driving object detection neural network. We use our synthetic dataset, KITTI, and Cityscapes to train three separate object detection neural networks and employ the PASCAL object detection criteria to evaluate each neural networks' performance. The results from the experiment indicate that the neural network trained by our synthetic dataset outperforms its counterparts and achieves higher average precision (AP) in detecting images under harsh weather conditions. The result sheds a light on employing synthetic data to resolve the challenges in the real world.
RAGAM HIAS PADA MASJID AINUL YAQIN GRESIK

Ainul Yaqin Mosque is one of the guardian mosques in Gresik Regency, East Java. The establishment of this mosque building is inseparable from the character of Sunan Giri and his descendants. The peculiarity of this mosque is the presence of ornament with Majapahit style in the building. Therefore, a study was carried out with the aim of describing the ornaments items found in the Ainul Yaqin Mosque building. The results showed that the decorative items contained in the Ainul Yaqin Mosque building can be divided into three groups, among others: 1) Ornaments of Geometric includes the motives of solar majapahit and mega overcast. 2) Ornaments of flora includes the motifs of lungs, tlacapan, saton, kebenan, padma, and patran. 3) Ornaments of living things include banaspati and naga motifs, 4) Ornaments of still life includes mustaka, praba, and banyu tetes. The ornament that is available at Ainul Yaqin Mosque is created not only as part of a building unit, but also has another function, namely adding value to the beauty of the mosque building.Keywords: architecture, mosque, art, ornament
Knowledge of word stress patterns in English in Korean Learners: The case of English trisyllabic nouns

This study aims to explore Korean learner knowledge of word stress patterns in English trisyllabic nouns. Building upon the previous findings from Guion (2005), further studies should look at data regarding more syllabically complex words. While the stress placement rules in English require at least three syllables to be applied, the study (Guion, 2005) only observed the individuals’ stress placement patterns in English disyllabic words. The prevalence of longer polysyllabic words in the English language necessitates observation of Korean learner speech patterns in English trisyllabic words. A total of 16 Korean learners of English participated in the experiments that explore the distributional patterns of stress placement based on word type (i.e., nonwords and real words) and syllable stress position on English trisyllabic nouns. Compared to that of native English speakers, Korean learners of English showed significantly higher error rate on stress placement rules in English nouns—particularly higher error rates on production and perception of nonwords, compared to that of English real words. The predictive factors (word type, syllable structure, and syllable weight) had a significant effect on the stress placement on both groups. Based on the results, our goal is to discuss how the learners use their previous language learning experience when they decide on which syllable to apply stress.
PENERAPAN METODE WATERFALL UNTUK PENYAJIAN PUBLIKASI INDUSTRI PENGOLAHAN LOGAM BERBASIS WEBGIS DI NAGARI SUNGAI PUA

The purpose of this research is. 1) mapping the distribution pattern of the metal processing industry in Nagari Sungai Pua. 2) publish the profile and potential of the metal processing industry in Nagari Sungai Pua using a WebGIS based geographic information system.&#x0D; This type of research is quantitative descriptive. In analyzing the distribution pattern of the metal processing industry, the method used is the Nearest Neighborhood analysis method and the method used in building WebGIS is the waterfall method&#x0D; The result of this study are: 1) the distribution pattern of the metal processing industry in Nagari Sungai Pua is random with a T index value of 0,884269. 2) publication related to the profile and potential of the metal processing industry in Nagari Sungai Pua can be accessed using WebGIS which has been successfully build using the waterfall method with the domain address http://webgisindustrisungaipua.000webhostapp.com. This WebGIS presents information about the metal processing industry in Nagari Sungai Pua which is presented in the form of maps containing data ranging from the distribution of metal processing industries, profiles and industrial potential that can be seen by the public so that information related to this industry can be accessed easily.
ABELLAITE, A SUPERGENE CARBON-BEARING MINERAL FOUND IN AN ABANDONED URANIUM MINE IN THE SOUTHERN PYRENEES (NE IBERIAN PENINSULA)

Geological Society of American Annual Meeting 2019 in Phoenix, Arizona, USA, 22-25 september
Penentuan Kebutuhan Air dan Koefisien Tanaman (Kc) Padi (Oryza sativa L.) di Sawah Lahan Rawa Lebak

Khalid F, Saleh E, Purnomo RH.  2019. The determination of water requirement and crop coefficient (Kc) of paddy ( Oryza sativa L.) in swampy land. In : Herlinda S et al. ( Eds .), Prosiding Seminar Nasional Lahan Suboptimal 2019, Palembang  4-5 September 2019. pp. 140-156. Palembang: Unsri Press. This research aimed to determine the water requirement and coefficient of paddy in swampy land. This research was conducted from January to June 2019. The research used an experimental method with descriptive data presented in the form of tables and graphs. The results showed that the net water requirement from the initial season, crop development, mid season and late season were 1.05 mm/day, 4.64 mm/day, 11.20 mm/day and 18.72 mm/day. The evapotranspiration measurements results (ET c ) from the initial season, crop development, mid season and late season were 1.23 mm/day, 2.57 mm/day, 2.64 mm/day and 1,57 mm/day, for plant coefficients (K c ) respectively were 0.42; 0.89; 1.01 and 0.62. The largest evapotranspiration values and plant coefficient were occured during the growth period of 31 to 65 days or mid season. Keywords:  net water requirements, evapotranspiration, coefficient of crops, percolation, swampy land
HISTOPLASMOSIS ON BONE MARROW ASPIRATE SMEARS ASSOCIATED WITH HEMOPHAGOCYTOSIS IN A PATIENT WITH TUBERCULOSIS

Histoplasmosis infection causes spectrum of illness&nbsp;ranging from transient respiratory infections to&nbsp;disseminated disease. It is caused by a dimorphic&nbsp;fungus Histoplasma capsulatum [1-3] and the mode of&nbsp;infection is through inhalation of its spores. The disseminated&nbsp;histoplasmosis is not common and can present as acute, subacute&nbsp;or chronic illness [2-4]. The acute form is fatal and usually seen&nbsp;in immunocompromised individuals while the chronic form has&nbsp;an indolent course.
Concerning Mediality from the Perspective of the Chronotope Concept - Focusing on Perception and Memory in the Works of Olafur Eliasson, Anishi Kapoor and Hiroshi Sugimoto -

This study started from the intention to understand the artist’s concept of the works installed in the placenss. The behavior that a human being sees something is the process of grasping the essence, by selecting the interested object and analyzing it by making it related to previous memory or experience. It was noted that optical media technology induces the viewer’s experience and changes the memory of the place. Through this, the purpose of this study to examine the characteristics of the space-time(chronotope) experience that the artist has directed. This study starts review of change in the acceptance of visual images and the audience’s perspective. As a result, the space and media works planned by the artist were generating continuous communication between place and users. What sees can be said to be cognitional and to be visual perception which is formed together by mental imagery. The artist instills new memories of chronotope as works that induce instant experiences. In conclusion, the new media with mediality acted as a medium for establishing the remediation between the viewer and the work.
Dynamic Processes of Formation Classes of Prime Numbers in a Probabilistic Model of Mathematical Computer Proof of the Generalized Artin Hypothesis

The analysis of the probabilistic approach to solving the problem of the distribution of primes in the generalized Artin's hypothesis is given. The foundations of a computer approach to solving problems in the field of pure and applied number theory are formulated. On the basis of the generalized Artin's hypothesis, it is shown how probabilistic methods of nonlinear dynamic systems can be obtained with sufficiently accurate solutions.
A Study on the Magazine-journalist Sang-Chan Cha : Focused on the Magazines made by Sang-Chan Cha

우리 민족의 얼과 독립정신을 계승한 위대한 잡지로 평가받고 있는 잡지 중 하나로서《개벽(開闢)》지를 빼놓을 수 없다. 《개벽》지를 중심으로 개벽사에서 발행한 11종의 잡지에는 오롯이 차상찬의 공로가 내재해 있다. 잡지인으로서 그 공로가 큼에도 불구하고 널리 알려져 있지 않아 본 연구에서는 잡지인 차상찬의 정신을 기리기 위해, 그가 만든 잡지를 중심으로 연구하였다. 차상찬이 한국 잡지사에 기여한 업적은 다음과 같다. (1)시사지로서 의견지를 만들었다. (2)일제강점기 에도 역사의식을 고양함으로써 민족의 정체성을 심어주었다. (3)민족문 학의 역사를 잡지와 함께 썼다. (4)대중독자층에 따른 잡지를 출간하였다. (5)최초 여기자를 양성한 페미니스트였다. (6)잡지의 미디어 생태학적 역할을 수행하였다. (7)최초의 기자단체 및 잡지협회를 창설했다.We usually state 《Gae Byouk(開闢)》as one of great magazines. Magazine company Gae Byouk published 11 magazines including《Gae Byouk》in which there were lot of distinguished services of Sang-Chan Cha who is unknown. Besides, a petty studies of great publishers, or magazine journalists in the field of publishing studies. Therefore, I raise the spirit and meritorious services of magazine journalist Sang-Chan Cha up through this study. Cha’s meritorious services through magazines publishing are such as; (1) He made the public sphere through current events magazines. (2) He tried to exalt Korean Identity through hundreds of articles about Korean history, customs, folkways and geographic informations, nevertheless it was the colonial period. (3) He made the literature sphere for many Korean novelists, poets, and new faces. Later, it was really important role in Korean literature history. (4) Gae Byouk was the first magazine company published 11 individual magazines for devided readers, such as intelligentsias, children, students, women, farmers, and so on. (5) Making the magazine for woman and making the sphere for woman reporter, or woman editor, it was really progressive feminism at that time. (6) He was a substantial magazine journalist against newspaper supervision according to the theory of journalism supervision. (7) His fields of action reached to making the journalists association and the magazines association was for a resist-Japanese movement through magazine journalism As the above, Sang-Chan Cha was a true magazine journalist using pen with which resist Japan colonialism.
ON A CONSTRUCTION METHOD FOR PERMUTATIONS OVER FINITE FIELDS

In this paper, we consider a method for constructing new permutations from the original permutations of a finite field, which generalizes the results how to increase the dimension of regular systems of functions. For constructed substitutions, a linear characteristic is calculated.
Acoustics education through digital fabrication

The integration of makerspaces in academic settings presents an opportunity to apply principles of musical acoustics to the rapid production of sounding objects. Digital fabrication accelerates the design cycle and alters what can be accomplished in the scope of such educational labs. Acoustic principles motivate parametric 3-D designs using open-source CAD software. These models can then be materialized through digital fabrication to empirically test numerical predictions; they also serve as prototypes for new instrument design and sound art. This paper reviews such a course offered at the University of Michigan in the Performing Arts Technology program. Machine and software requirements are discussed as well as methods to combine acoustic problem-sets with contemporary fabrication methods.
Reading Learning Strategies Used By English Good Achievers: A Case Study At Eight Grade Of SMP N 4 Surakarta

The purpose of this study is to describe the metacognitive, cognitive, and socio-affective strategies used by the students and the implementation in practice. The type of this research is descriptive qualitative by using a case study. The data sources were carried out through informant and event. The subject of this research was the six good achievers of eight grade at the eight grade SMPN 4 Surakarta. The researcher used classifying data based on O’Malley taxonomy. The object of this research was focused on the O 'Malley learning startegies' used by good achievers to understand reading comprehension. The data collection techniques used in this research were open-ended questionnaire and in-depth interview. To analyze the data, the researcher used data reduction, data display, and drawing conclusion / verification. The researcher used triangulation to validate the data. The result of this research shows that almost all good achievers used O’Malley’s learning strategies to understand reading comprehension when they learning. This research found that good achievers prefer to use socio-affective strategy.
Blind Quality Assessment for DIBR-Synthesized Images Based on Chromatic and Disoccluded Information

In this paper, we propose a novel method for no reference image quality assessment. It evaluates the visual quality of the synthesized images by considering chromatic and disoccluded information. Since human is sensitive to chromatic information, the chromatic information is extracted which is represented by the features of saturation and hue. Specially, we calculate the first derivative of saturation and hue maps by using local binary pattern (LBP) algorithm and extract features from LBP maps. In addition, inspired by the characteristic of the human visual system (HVS) and the synthesized image-specific distortion type, the proposed method extracts disoccluded maps as weighting maps for LBP maps. The support vector regression (SVR) model is used to predict the visual quality of images by using the extracted features. Compared with 8 state-of-the-art no-reference methods for natural or synthesized images, the proposed method shows improved performance on IRCCyN/IVC DIBR and MCL-3D databases.
Scene-Guided Region Proposal Re-ranking Method for On-road Vehicle Candidate Generation.

Vehicle candidate generation is important for vehicle detection. Existing vehicle detection studies usually employ general-purpose region proposal methods to generate vehicle candidates, which do not consider the specificity of on-road vehicles in traffic scenes. In this paper, we propose a model to re-rank the candidates that are generated by general-purpose region proposal methods. Our model considers the specificity of on-road vehicle candidate generation in traffic scenes by encoding global-local semantic context and location-size geometric compatibility. In the experiments, we test our model on three art-of-the-state region proposal methods using two public datasets. The results show the significant performance improvement is gained after applying our model.
NATURAL LANGUAGE PROCESSING: MALAGASY PART-OF-SPEECH TAGGING

The objective of this work is the realization of a part-of-speech tagging (POS tagging) for the official Malagasy Language. The tagger uses a set of tags, a tagged learning corpus, various mathematical models, and an algorithm that implements the basic rules of the Malagasy grammar. We will describe our tagset in a two-level approach and the performance of our part of part-of-speech tagging in relation to unigram-based tagger, the bigram model and the Hidden Markov Model. We will then present detailed results of each simulation.
A Cyberspace Ontology Model Under Non-cooperative Conditions

The activities of cyberspace are not always cooperative, and confrontational behavior under non-cooperative conditions has even occurred at the beginning of the Internet and will persist. To describe the non-cooperative situation, we construct an ontology model to depict the entities and relations in the cyberspace. We divide the cyberspace into physical, logical, and social domains, and then build a conceptual model. According to the ontology modeling method, the upper layer, the domain and the application ontology are hierarchically constructed. Based on the Semantic Web Rule Language (SWRL), a reasoning framework is initially constructed to implement basic logical reasoning. We map the structured data in the data source to the model according to the predefined rules file, and extract the unstructured data to obtain the structured data. In order to verify the validity of the model, we designed a prototype system to integrate multi-source heterogeneous data and to achieve efficient query and reasoning.
Implementation of Visible Foreground Abstraction Algorithm in MATLAB Using Raspberry Pi

The Visual Surveillance system has been an active subject matter due to its importance in security purpose. Detection of moving objects in a video sequence is obligatory in many computer vision applications. The present Visual Surveillance system is not smart enough to take its own actions based on the observations. Crime rate can be reduced greatly if the surveillance systems are able to take their own actions based on the observations. This can be achieved by implementing algorithms with compact hardware in the surveillance system. This paper depicts the real time hardware implementation of Visible Foreground Abstraction (VFA) algorithm in raspberry pi. In this work, the main concentration is the design of VFA algorithm in MATLAB® and its implementation using Raspberry Pi module. The design and implementation has yielded better accuracy than previous algorithms.
Chaos Assisted Security Solution for Preserving Medical Images

In the Quaternary era, the increased development in the medical field leads to the concern towards the authentication and security of the medical images. Sharing and transmission of DICOM image using a high secure encryption is challenging. To enhance high security, the confusion and diffusion techniques are employed. More chaos is brought out by introducing discrete chaotic maps such as logistic or tent map and continuous attractor like Lorenz attractor. To validate the algorithm several analyses such as brute force, statistical and cropping attacks are carried out to prove the effectiveness of the proposed work.
Effects of stop voicing on long-distance acoustics

In Coleman (2003), the phonological feature [voice] was found to have a long-distance coarticulatory effect. However, voicing is not always realized as categorically present or absent. Davidson (2016) classifies partially voiced stops as having different patterns of voicing: bleed, trough, negative VOT, and hump. The present study answers the question: How do voicing patterns in stops affect the long-distance coarticulatory properties of the stop? Following the methodology of Coleman (2003), LPC coefficients, voicing, F0, harmonics-to-noise ratio, and z-score normalized RMS amplitude were measured in the read data from the Rainbow Passage in the Nationwide Speech Project (Clopper and Pisoni, 2006) in order to examine the stops and their coarticulatory effects. In the second sentence of the Rainbow Passage, the phones [b], [d], and [k] and their surrounding acoustics were measured in 10 millisecond frames that were aligned in time using dynamic time warping. A preliminary analysis using data visualization with smoothed conditional means reveals differences in the acoustics. There were several differences in both anticipatory and carryover coarticulation in the first through sixth and ninth through eleventh LPC coefficients. Subtle differences in acoustics as a result of long-distance coarticulation have implications for what makes both human and synthetic speech sound natural.
On the Use of Dependencies in Relation Classification of Text with Deep Learning

Deep Learning is more and more used in NLP tasks, such as in relation classification of texts. This paper assesses the impact of syntactic dependencies in this task at two levels. The first level concerns the generic Word Embedding (WE) as input of the classification model, the second level concerns the corpus whose relations have to be classified. In this paper, two classification models are studied, the first one is based on a CNN using a generic WE and does not take into account the dependencies of the corpus to be treated, and the second one is based on a compositional WE combining a generic WE with syntactical annotations of this corpus to classify. The impact of dependencies in relation classification is estimated using two different WE. The first one is essentially lexical and trained on the Wikipedia corpus in English, while the second one is also syntactical, trained on the same previously annotated corpus with syntactical dependencies. The two classification models are evaluated on the SemEval 2010 reference corpus using these two generic WE. The experiments show the importance of taking dependencies into account at different levels in the relation classification.
Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context

Image classification is a special type of classification tasks in the setting of supervised machine learning. In general, in order to achieve good performance of image classification, it is important to select high quality features for training classifiers. However, different instances of images would usually present very diverse features even if the instances belong to the same class. In other words, one types of features may better describe some instances, whereas other instances present more other types of features. The above description can indicate that the same learning algorithm may be capable of learning from some parts of a data set but show weaker ability to learn from other parts of a data set, given that different algorithms usually show different suitability for learning from instances that show various characteristics. On the other hand, image features are typically in the form of continuous attributes which can be handled by decision tree learning algorithms in various ways, leading to diverse classifiers being trained. In this paper, we investigate diversified adoption of the C4.5 and KNN algorithms from different perspectives, such as diversified use of instances and various ways of handling continuous attributes. In particular, we propose a multi-perspective approach of diversity creation for image classification in the setting of ensemble learning. We compare the proposed approach with those popular algorithms that are used to train classifiers on either a full set of original features or a subset of selected features for image classification. The experimental results show that the performance of image classification is encouraging through the adoption of our proposed approach of ensemble creation.