Reviewerly/exHarmony huggingface dataset:
Measuring the Impact of Neural Machine Translation on Easy-to-Read Texts: An Exploratory Study

Over the last decade, translation research has experienced an increased interest in the study of controlled languages (CLs). The vast majority of studies carried out during that time have focused on technical documentation, with a strong emphasis on the implications of combining CL approaches with machine translation (MT) for the quality of the final translation product. However, few research efforts have been devoted to exploring the impact of MT on texts that follow the guidelines of other forms of controlled language, such as plain language (PL) or Easy to Read (EtR). The most recent example can be found in the work by Rossetti (2018), who measured the machine translatability of PL summaries of health-related complex systematic reviews through the estimation of number and severity of errors in the MT output. Yet, the focus was still on target text fluency and adequacy rather than usability of the resulting PL text. Similarly, target users have rarely included people with special needs, as most studies of this nature are aimed at non-native speakers of a given language. By shifting the focal point towards the end user, our project aims to explore the impact of neural machine translation (NMT) on the usability of EtR texts by people with intellectual disabilities. The main goal of the planned study is to understand whether the EtR guidelines followed in the source text are respected in the resulting NMT output for the English-French language combination. The rationale behind the tests is that, as opposed to statistical machine translation (SMT), output is less predictable and undesired grammar and vocabulary changes can be introduced by the system (Neubig, Morishita, and Nakamura 2015). The study will consist of two phases: first, a textual analysis will be carried out to compare the outputs of two SMT and NMT systems in terms of translation quality and EtR guidelines violation. Second, a user evaluation stage will be conducted to assess the resulting translations for comprehensibility and satisfaction. We expect that study findings will provide further insight into whether NMT is a viable option for translating EtR documents for accessible communication in this particular language pair.
Effect of average speckle size on speckle interference fringe pattern

In speckle metrology, speckle fringe pattern includes phase information, in order to get the contains less noise in the dynamic measurement of the original speckle fringe pattern, allowing for more efficient to extract phase information,A new method is proposed to improve the quality of the original speckle pattern by changing the average speckle size on the digital shear speckle. The quantitative relationship between the optical path system parameters F number and magnification factor and the speckle size on the image surface was analyzed, and the digital shear speckle interferometry experiment based on the space carrier phase shift technology changed F number and magnification factor respectively for verification.Experimental results show that the shape of variables for fixed value, system magnification is 1, the imaging lens F value is 4.5, The average speckle size was 5.841 &mu;m, and the image was best when it was closest to 5.86 &mu;m, as a lens F number is 2, system magnification of 3.5, The average speckle size was 5.841 &mu;m, and the image was best when it was closest to 5.86 &mu;m, after filtering is cosine algorithm, the speckle fringe pattern is the most clear.It is proved that when the speckle size on the image plane is closest to the size of pixel, the quality of the speckle stripe is the best.
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.

The high amount of sensors required for autonomous driving poses enormous challenges on the capacity of automotive bus systems. There is a need to understand tradeoffs between bitrate and perception performance. In this paper, we compare the image compression standards JPEG, JPEG2000, and WebP to a modern encoder/decoder image compression approach based on generative adversarial networks (GANs). We evaluate both the pure compression performance using typical metrics such as peak signal-to-noise ratio (PSNR), structural similarity (SSIM) and others, but also the performance of a subsequent perception function, namely a semantic segmentation (characterized by the mean intersection over union (mIoU) measure). Not surprisingly, for all investigated compression methods, a higher bitrate means better results in all investigated quality metrics. Interestingly, however, we show that the semantic segmentation mIoU of the GAN autoencoder in the highly relevant low-bitrate regime (at 0.0625 bit/pixel) is better by 3.9 % absolute than JPEG2000, although the latter still is considerably better in terms of PSNR (5.91dB difference). This effect can greatly be enlarged by training the semantic segmentation model with images originating from the decoder, so that the mIoU using the segmentation model trained by GAN reconstructions exceeds the use of the model trained with original images by almost 20 % absolute. We conclude that distributed perception in future autonomous driving will most probably not provide a solution to the automotive bus capacity bottleneck by using standard compression schemes such as JPEG2000, but requires modern coding approaches, with the GAN encoder/decoder method being a promising candidate.
Our Website Redesign Project and the Creation of a DEIA Statement

This presentation was delivered at the User Experience Leadership in Academic Libraries Meetup at North Carlonia State University Libraries in Raleigh, NC, on Monday, November 4, 2019.
Towards Ingestion Processes of Kompsat Data in Open Data Cube on Open Source Cloud Computing Environment

Open Data Cube (ODC) is an open source platform that allows analysis experts to easily and quickly access and process satellite information that observes the earth. The platform is stored and managed in the form of a data tube based on image and time series information including geographic locations. ODC offers modules to ingest a number of free satellites. Data ingestion means the process of obtaining and importing data for immediate use or storage in a database. Developing and providing an ODC-applicable ingestion module directly from the country that owns and operates the satellite increases the value of its use. Korea possesses and operates the multiple KOMPSAT series, a high-resolution optical and SAR satellite images related to Earth observation. Technical methodologies for processing satellite data are important because it is significantly larger as it is collected. ODC is basically a project designed with these considerations, and it is possible to apply the latest technology in how it operates, as well as highly scalable cloud computing technology. Not only is there a commercial, ready-to-use cloud computing services, but there are many technologies that have been released as an open source. With all these aspects, the processing modules to ODC for applying KOMPSAT images to open source cloud computing services were developed in this study. It is expected that KOMPSAT data will be useful to the users of ODC using these scripts and that this case can be referenced by users to build their own cloud services and operate ODC.
Word Segmentation for Classification of Text

Compounding is a highly productive word-formation process in some languages that is often problematic for natural language processing applications. Word segmentation is the problem of splitting a s ...
RETRACTED: Parametric Design of Quasi-Natural Waterscape Gardens Based on Big Data Technology

Abstract In order to better design the water scenes of garden, the natural water scenes of garden parameters are designed by combining the big data technology, the water scenes of garden generation rules are collected by the pseudo-natural principle, and the garden landscape parameters are designed by combining the regular production characteristics with the big data technology. In order to ensure the rationality of the principle landscape design, the pseudo-natural water scenes of garden parameters are standardized, and the standard parameters are input into the Grasshopper auxiliary simulation software, so that the optimal design scheme of the pseudo-natural dynamic correlation water scenes of garden view is automatically generated. Finally, through experiments, it is proved that the landscape simulation effect of pseudo-natural water scenes of garden parametric design based on big data technology is more satisfactory than that of traditional design simulation results.
Rekayasa manajemen lingkungan berorientasi keuntungan (MeLOK) pada industri kecil jeans di Desa Surabayan Kecamatan Wonopringo Kabupaten Pekalongan

The small jeans industry cluster in Surobayan Village, Wonopringgo District, Pekalongan Regency is a category of small industry or home industry. The number of jeans entrepreneurs in Pekalongan Regency is quite large, namely 84 jeans craftsmen. In addition to the problem of waste that is formed, there are other problems that can affect the continuity of the jeans production process, starting from the input, which is the selection of raw materials of jeans that are not appropriate and inefficient, the use of excessive resources (water, energy), causing KBP (Output Not Product ), facilities and infrastructure that are not environmentally friendly, and irregular layout. This of course can cause major influences on the increase in operational costs and can reduce productivity caused by declining employee health caused by poor governance or layout. The use of water, energy, and raw materials that are inefficient causes a lot of waste that generated and increased production costs, the existence of water waste, jeans fabric raw material and energy in the form of firewood. Waste of water usage (water inefficiency) in the production process causes more liquid waste to be generated. Moreover, in general the small jeans industry is in the middle of a settlement, so that the unpleasant odor of liquid waste and exhaust gases from the cooking process will greatly disrupt the surrounding community, because wastewater is disposed of randomly in water bodies. There are 4 aspects needed before the MeLOK model is applied to the jeans industry, namely: (1) socialization, carried out in the process of making jeans, facilities and infrastructure used and waste generated, (2) eco-efficiency training is conducted for jeans business owners, employees and the community, (3) Assistance is carried out to obtain quantity input and output that will be used to calculate the material balance, (4) technical and economic feasibility analysis to be compared before the MeLOK model
Improving Students’ Speaking Skill By Using Broshures and Pamphlets As Media At Junior High School SMP Negeri 2 Percut Sei Tuan

This research aimed to improved the students’ speaking skill in English lesson by using media brochures and pamphlets. This research was conducted by using Classroom Action Research (CAR). The subject of this research was VIII-9 grade of SMP Negeri 2 Percut Sei Tuan 2019/2020 academic years which consisted of 31 students. The objective of this research was to improve students’ speaking skill in English Lesson by using Media Brochures and Pamphlets at Eight Grade of SMP Negeri 2 Percut Sei Tuan. This research was conducted in two cycles which each consists’ of planning, acting, observing, and reflecting. The data were gathered through quantitative and qualitative data. The result of this research showed that there was increasing of students in speaking skill. The mean of pre-test was 59.16. The mean of post-test 1 was 75.35. the mean of post-test 2 was 82.90. It indicated that the scores and the mean in second cycle were better than the first cycle. The percentage of students who got point >75 also grew up. In the pre-Test, the students who got point >75 up were 4 students (12.90%). In the post-test of cycle 1 students who got point >75 up were 21 students (67.74%). The post-test of cycle 2, students who got point >75 were 28 students (90.32%). In other words, the students’ ability in speaking improved and became well in the first meeting to the next meeting.
The Effects of Gender and Reading Mediums on Comprehension

The present study examined the effects of gender and different types of reading mediums on comprehension among students. In the study, 40 undergraduate students that were grouped according to gender were asked to read four psychopathology texts, (two digital texts and twoprint texts) that were presented in counterbalanced order. To ensure that the experiment was equitable, pre-screening was done based on the participants’ Malaysia University English Test (MUET) result as well as their knowledge in psychopathology. The results showed thatthere was no significant difference in terms of reading comprehension between gender. However, based on the mean scores, females scored slightly better in reading comprehension compared to males. The results also showed that there was no significant difference inreading comprehension between the two groups (print text vs. digital text), however, the mean scores in reading comprehension revealed that participants’ performance in print reading was slightly higher than digital reading suggesting that participants may have benefitted from print reading a little bit more than digital reading. The present findings can elevate the understanding on the effects of digital and print reading as well as ensure that students are well aware of which reading mediums can promote better learning experience for them.
Library Guides: Hate: Hate on Campus

This guide provides information on hate in our society. It focuses upon online hate and strategies for dealing with it.
The cybercrime combating platform

Presented at: Proceedings of the 14th International Conference on Cyber Warfare and Security, Stellenbosch University, South Africa, 28 February-1 March 2019. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website.
When a rehearsal space becomes something more—The DiMenna Center for Classical Music, New York, NY

The impetus for developing the Dimenna Center for Classical Music in New York was to create a venue that would enable the Orchestra of St. Luke’s—resident orchestra at Carnagie Hall (as well as a select group of additional ensembles)—to rehearse regularly. When the Dimenna Center was envisioned, many of the spaces available for rehearsal in New York were transformed to serve other purposes. Soon after the Dimenna Center opened, it succeeded in its primary mission—more than thirty ensembles are currently resident in the venue. However, the measures taken by the acoustics team in anticipation of providing an optimum rehearsal and recording space for a world class orchestra have also garnered notoriety. Despite its proximity to the subway, the box-in-box construction provides one of the quietest venues of it size for recording in New York. The addition of the E-Coustic System provides acoustic variability that produces optimum acoustical conditions for both rehearsal as well as recording. Recording highlights include the feature film soundtracks for soundtrack for The Girl On The Train, The Greatest Showman, and Hail, Caesar!; Broadway Cast Albums The King and I, Hello, Dolly, and a Grammy Award-winning album by Room Full of Teeth.
Malaria Morbidity Prediction Scenario in Indonesia

Governments commitment in eradicating malaria has been realized in Malaria elimination program. The program aims to reduce Malaria case to zero in 2030. Starting from 2011, Indonesia suffered a drop in APIs value from 1,75 to 0,84. Despite the numerous drop in Malaria cases, some regions are still suffering from large major outbreaks especially in eastern Indonesia. WHO declares that Indonesia is a country at risk of malaria, because of the high rates of malaria morbidity. The aims of this paper is to predict the trend of malaria morbidity with the API variable value of each province in Indonesia. The method used in this research is probabilistic method using extrapolation trends and ARIMA (Autoregressive Integrated Moving Average) using variation percentage of training and testing data to obtain the best prediction method. Result of this article is API value scenario in Indonesia up to 2030. Based on the analysis result, the best method to predict the value of API is exponential growth method because it has the smallest MAPE value, which is 38.48 using 80% training data and 20% testing data. The prediction results show that from year 2018 to 2030, the value of API will decrease from 0.45 to 0.016.
Information Security Risk Assessment in Cloud

This research addresses the issue of information security risk assessment (ISRA) on cloud solutions implemented for large companies. Four companies were studied, of which three used cloud services ...
Towards Corner Case Detection for Autonomous Driving.

The progress in autonomous driving is also due to the increased availability of vast amounts of training data for the underlying machine learning approaches. Machine learning systems are generally known to lack robustness, e.g., if the training data did rarely or not at all cover critical situations. The challenging task of corner case detection in video, which is also somehow related to unusual event or anomaly detection, aims at detecting these unusual situations, which could become critical, and to communicate this to the autonomous driving system (online use case). Such a system, however, could be also used in offline mode to screen vast amounts of data and select only the relevant situations for storing and (re)training machine learning algorithms. So far, the approaches for corner case detection have been limited to videos recorded from a fixed camera, mostly for security surveillance. In this paper, we provide a formal definition of a corner case and propose a system framework for both the online and the offline use case that can handle video signals from front cameras of a naturally moving vehicle and can output a corner case score.
Spatial Statistic Data Release Based on Differential Privacy

With the continuous development of LBS (Location Based Service) applications, privacy protection has become an urgent problem to be solved.Differential privacy technology is based on strict mathematical theory that provides strong privacy guarantees where it supposes that the attacker has the worst-case background knowledge and that knowledge has been applied to different research directions such as data query, release, and mining.The difficulty of this research is how to ensure data availability while protecting privacy.Spatial multidimensional data are usually released by partitioning the domain into disjointed subsets, then generating a hierarchical index.The traditional data-dependent partition methods need to allocate a part of the privacy budgets for the partitioning process and split the budget among all the steps, which is inefficient.To address such issues, a novel two-step partition algorithm is proposed.First, we partition the original dataset into fixed grids, inject noise and synthesize a dataset according to the noisy count.Second, we perform IH-Tree (Improved H-Tree) partition on the synthetic dataset and use the resulting partition keys to split the original dataset.The algorithm can save the privacy budget allocated to the partitioning process and obtain a more accurate release.The algorithm has been tested on three real-world datasets and compares the accuracy with the state-of-the-art algorithms.The experimental results show that the relative errors of the range query are considerably reduced, especially on the large scale dataset.
Aplikasi Pengolahan Zakat Berbasis Web (E-Zakat)

Zakat is one of the pillars in the religion of Islam, which means it is obligatory for every Muslim who is able to do it. In reality there are still many Muslims who do not understand the types of zakat, the calculation of zakat, payment and processing of zakat, so that it causes them to forget to pay zakat. Moreover, in this modern era, people prefer things that are fast and practical. And if every Muslim and Muslim want to pay zakat for sure, of course this can help improve the economy of the lower middle class. And of course zakat must be issued and processed according to established rules. Therefore in this study an application was built in the form of a website that could handle various community problems regarding payment and data processing of zakat in this modern era. This website is built with the programming languages HTML, CSS, Javascript and PHP and for its database using MySQL and for its web service using Apache. Keywords: Application, Web, Zakat
Detection dynamics: the balancing act in the realm of cyber security under conditions of staff shortage and attacker behaviour growth

37th International Conference of the System Dynamics Society, Albuquerque, New Mexico, USA, July 21 – July 25, 2019
Analisis Dampak Technostress terhadap Pembelajaran Praktikum Komputer

This study focuses on developing discontinuous use of computer intentions, namely behavioral intentions in the termination phase, in the context of software engineering lessons, where AMIK Indonesia educational institutions use curriculum with more practice than learning material and this shows a very important role, it is hoped this research also add insight and knowledge of researchers and computer practicum lecturers to control student behavior in absorbing material so that competencies are aligned with the aims of practicum learning so as to produce quality graduates. This research was conducted at AMIK Indonesia Banda Aceh. The population in this study were all active students at the University. With a purposive sampling technique involving 60 respondents through survey methods, and data analyzed with SmartPLS. The results of this study indicate the positive and negative impacts caused by computer practicum learning on student behavior at AMIK Indonesia. Practically, this research is useful in developing the design of computer lab learning governance which is the basis of material in institutions that involve a lot of practicum and computer usage. Improvement of computer practicum learning curriculum, in particular, is expected to have a large impact on the quality of these students but strengthening the material and reducing assignments by involving cases in the field will make students understand and easily learn the practical material itself.Keywords:Analysis, Impact, Technostress, Learning, Practicum.
Design and Implementation of a Dynamic Map Template Based on Rule Combination

According to the fact that the function of existing map templates is difficult to extend and the control is not flexible enough, a dynamic map template based on combination of cartographic rules was designed. First of all, according to the characteristics of cartography, the cartographic rules contained in each cartographic link were summarized, and then the dynamic map template applied to the whole cartographic process was designed by using cartographic rules as the basic unit, and finally through converting the user's cartographic operations into the cartographic rules and the organic combination of cartographic rules, a dynamic map template was constructed. Compared with the traditional map template, the dynamic map template has strong hierarchical and scalability, which helps to simplify the cartographic process and ensure the scientificity of the user's actions.