Reviewerly/exHarmony huggingface dataset:
Automatic Column Assignment for Block World Domain with PNRD/iPNRD

Too much effort is being invested in automated planning field, however, this area has been focusing more on improving the performance of search algorithms in an abstract space than on practical solutions.Among several challenges it can be pointed out replanning, uncertanties and partial observation.This paper presents an automatic column assignment for an adaptive control of a robotic arm and three blocks based on PNRD -Petri Net inside RFID Database -and iPNRD -inverted PNRD -integration.The procedure is composed by building a Petri space, PNRD, and iPNRD model for each agent, and by integrating their information so that the robotic arm may autonomously order the blocks to the desired final global state, stored previously in each block's RFID tag; comparing the logical initial position with the physical position identification; assigning automatically the column index; generating a sequence of movements; and executing related actions.Some issues arise because of the dispersed information, physical-logical interface and its constraints, requiring the detection of not conformance in results, optimally solve and realize the required sorting given its partial observably, and sequential movement of one block each time.The feedback from PNRD/iPNRD models with physical positioning can certify the required initial, intermediate and final condition and also check for exceptions, resulting in an adaptive robotic control.
SocialWeb Observatory: An entity-driven, holistic information summarization platform across sources

The Social Web Observatory is an entitydriven, sentiment-aware, event summarization web platform, combining various methods and tools to overview trends across social media and news sources in Greek.SWO crawls, clusters and summarizes information following an entitycentric view of text streams, allowing to monitor the public sentiment towards a specific person, organization or other entity.In this paper, we overview the platform, outline the analysis pipeline, focusing on the article clustering and title extraction aspects.We then perform a user study aimed to quantify the usefulness of the system and especially the meaningfulness and coherence of discovered events in a Greek language setting, getting promising results.
Optimizing Discovery: Developing a Holistic Approach to Managing a Discovery Service

ABSTRACT Discovery services have become prominent and valuable tools within many of today’s libraries. Created to meet user expectations in the age of Google, they aim to provide a single search platform for an institution’s electronic collections. Ideally, they connect users seamlessly to resources spread across various publisher platforms and databases. However, without proper configuration and regular assessment a discovery service may develop access barriers that frustrate and potentially drive away users. This presentation outlined a holistic approach developed at Ohio University Libraries for optimizing a discovery service through a combination of technical knowledge, open collaboration, and understanding the user experience.
Online Interactive Communication via Academic Blogging Activities Among Indonesian EFL Students

Indonesian people in the conversation using English in many ways, such as face to face and social media. The purpose of this research is to identify students' online interactive communication in their blog's comment. It focuses among students as Indonesian EFL students in Morphology class in Universitas Lancang Kuning (Unilak). This study also eager to know what type of language function and phase of knowledge construction on students blogging activities on selected IT platform classroom, i.e. Morphology course. The method employ in this research is a qualitative descriptive method. This study did take the comments' blog of all students in Morphology class. Then This study analyzed those comments. The result of this research, students, showing some dominant type in Knowledge Construction, i.e., Sharing and Comparing of opinion in Blog The present study also reveals the use of Expressing and Supporting Opinions as the dominant types in Language Function.
Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer

As numerous modern NLP models demonstrate high-performance in various tasks when trained with resource-rich language data sets such as those of English, there has been a shift in attention to the idea of applying such learning to low-resource languages via zero-shot or few-shot cross-lingual transfer. While the most prominent efforts made previously on achieving this feat entails the use of parallel corpora for sentence alignment training, we seek to generalize further by assuming plausible scenarios in which such parallel data sets are unavailable. In this work, we present a novel architecture for training interlingual semantic representations on top of sentence embeddings in a completely unsupervised manner, and demonstrate its effectiveness in zero-shot cross-lingual transfer in natural language inference task. Furthermore, we showcase a method of leveraging this framework in a few-shot scenario, and finally analyze the distributional and permutational alignment across languages of these interlingual semantic representations.
Automatic Recognition of Query Based Tablet Image using Improved Color Features

Now a day's image mining plays a vital role in various technologies in order to find atypical patterns and to extract the useful information. In this paper, the preprocessing and feature extraction steps are mainly focused. The automatic identification, matching and retrieval of tablet image based on the shape and color features present in the tablet images are also discussed. These color features of the tablet images are improved using histogram based techniques like Histogram, Pyramid Histogram and Modified Histogram to match and retrieve the images of the tablet required from the database. The parameters such as accuracy, error rate and execution speed are used to measure the performance of the tablet identification system. MATLAB software is used for the purpose of implementing the results. From the results it is visible that using the modified histogram features, the accuracy, error rate reduction and the speed of execution has been considerably improved.
Temporal Tensor Local Binary Pattern: A Novel Local Tensor Time Series Descriptor

Time series is very ubiquitous in both the industrial environment and real-life. Capturing the time dependency is very useful for time series analysis. Although the one-dimensional local binary pattern (1D-LBP) can analyze the Univariate time series, it cannot effectively handle the multivariate time series (MTS). The UTS can be considered as zero-order tensor time series (TTS), while the MTS can be considered as one- or higher order TTS. Each variable in MTS depends not only on its past values, but also on the other variables. In this article, we propose a temporal tensor LBP (TTLBP) operator to extract the discriminative temporal features from TTS by extending 1D-LBP operation from the scalar-wise to the tensor-wise. The TTLBP is discriminative and can handle the TTS effectively and straightforwardly. To the best of our knowledge, TTLBP is the first LBP variant for TTS analysis. Furthermore, we also propose a stricter uniform TTLBP to improve robustness and to reduce the high dimensionality. We apply the proposed TTLBP in the edge intelligence-assisted video anomaly detection system. Qualitative and quantitative comparisons demonstrate the effectiveness of the proposed TTLBP.
Anonymity and Performance Analysis of Stream Isolation in Tor Network

Tor is an overlay network software which enables users to communicate anonymously over the web. There have been numerous improvements to the original Tor design mainly to upgrade its performance and overall user anonymity. This paper explores the impact of a proposal to separate client based streams over the circuits, based on the metadata provided by the connection. Prior to the implementation of stream isolation, all the streams from the client end selected the circuit based on the exit node and the lifetime of the circuit. This could result in unrelated traffic being combined and let the adversary at the exit node perform probabilistic timing attacks, thereby compromising the overall anonymity of the user. Stream isolation obfuscates these attacks by creating a new circuit and isolating the streams as much as possible. We have analyzed and examined the effects of stream isolation in the Shadow and Tor Path simulator(TorPS) by creating up to ten parallel transfers from the client end which connects to several non-identical servers. These parallel transfers create distinct circuits for every request in the case of the configuration where the stream isolation is enabled. The impact on the anonymity has been investigated using TorPS, which clearly indicates a diminution in the fraction of compromised streams after isolating disparate traffic across discrete paths. The performance insights attained after the Shadow simulations show that the stream isolation when enabled in the configuration, results in an upsurge in the memory usage, increase in the latency for finishing all the downloads, and an overall rise in the network throughput. We can, therefore, conclude that this increased overall anonymity of the network comes at the cost of an increase in the network overhead.
Compressed Video Stream Based Object Detection

Nowadays, the need for research on an intelligent video monitoring system is increasing worldwide.Among the object detection methods, the core technology of the intelligent video monitoring system, or object detection using a deep learning-based convolutional neural network, is used widely due to its proven performance.Nonetheless, deep learning-based object detection requires many hardware resources because it decodes the videos to analyze.Therefore, this article suggests an advanced object recognition technique by conducting compressed video stream-based object detection in order to reduce consumption of resources for object detection as well as improve performance and confirms via the performance evaluation that speed and recognition rate improved compared to existing algorithms such as YOLO, SSD, and Faster R-CNN.
Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia

Decision Support System can be an alternative solution to determine the candidate's decision. Bantuan Pangan Non-Tunai (BPNT) are selected based on criteria determined by the Ministry of Social Affairs of the Republic of Indonesia. BPNT recipients are conducted by the government to help someone who is less able to meet their daily needs. The occurrence of errors in determining the eligibility of prospective beneficiaries is a major problem, based on these problems there needs to be an information system that can provide a valid BPNT recommendation and one of which uses a grouping method with the Fuzzy C-Means (FCM) algorithm. System development using the waterfall method. The results of system implementation and testing showed that 90% of the system was following what was expected according to the results of the test with the system being built.
FALCON 2.0: An Entity and Relation Linking framework over Wikidata

The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from the text, and possibly linking them to proper matches in Knowledge Graphs (KGs). Considering Wikidata as the background KG, still, there are limited tools to link knowledge within the text to Wikidata. In this paper, we present Falcon 2.0, first joint entity, and relation linking tool over Wikidata. It receives a short natural language text in the English language and outputs a ranked list of entities and relations annotated with the proper candidates in Wikidata. The candidates are represented by their Internationalized Resource Identifier (IRI) in Wikidata. Falcon 2.0 resorts to the English language model for the recognition task (e.g., N-Gram tiling and N-Gram splitting), and then an optimization approach for linking task. We have empirically studied the performance of Falcon 2.0 on Wikidata and concluded that it outperforms all the existing baselines. Falcon 2.0 is public and can be reused by the community; all the required instructions of Falcon 2.0 are well-documented at our GitHub repository. We also demonstrate an online API, which can be run without any technical expertise. Falcon 2.0 and its background knowledge bases are available as resources at this https URL.
THE COMPLIMENT AS A SOCIAL STRATEGY: A DISCOURSE ANALYSIS OF ON-LINE COMPLIMENTS AND INSULTS

Abstract: Compliments and insults play an important role in our daily lives, and even more when a high part of it is in social networks. Some authors have focused on research on responses to compliments (Holmes, 1986) responses to compliments on-line (Maíz-Arévalo, 2013), compliments in Japanese (Adachi, 2011), or compliments in audio-recorded, face-to-face conversations (Maíz-Arévalo, 2012). Nevertheless, little research has been done on how English compliments and insults are constructed in the comments section of famous people posts in social media. This is the aim of this text, as well as answering the following questions: what kind of compliments do fans use? What kind of insults do users employ? Do they change depending on the sexual preference of the celebrity that social networks users address? Results display that compliments and insults can be used explicitly and implicitly, although the explicit way is the most frequent type, both among compliments and insults. Also, regarding the sexual preference of celebrities, we can find that a there is a low influence over social media users when complimenting and insulting famous individuals in social networks.Keywords: compliments, insults, social networks, English, celebrities, Facebook, post. Resumen: Los halagos e insultos desempeñan un papel importante en nuestra vida cotidiana, incluso más cuando gran parte de ella está publicada en las redes sociales. Algunos autores se han centrado en investigar las respuestas a halagos, respuestas a halagos en línea, halagos en japonés o halagos en conversaciones cara a cara grabadas en audio. Sin embargo, poco se ha investigado acerca de cómo se construyen los halagos en insultos en inglés a lo largo de la sección de comentarios de las publicaciones de famosos en redes sociales. Este es el objetivo de este texto, así como responder a las siguientes preguntas: ¿Qué tipo de halagos usan los fans? ¿Qué tipo de insultos se usan? ¿Cambian dependiendo de la orientación sexual de los famosos? Los resultados demuestran que los halagos e insultos pueden ser usados explícitamente e implícitamente, aunque la forma más común es la explícita, tanto en halagos como en insultos. Además, en cuanto a la orientación sexual de los famosos, vemos que los usuarios de redes sociales se ven poco influenciados a la hora de halagar o insultar a famosos –Donald Trump y Neil Patrick Harris– en redes sociales. Palabras clave: halagos, insultos, redes sociales, inglés, celebrities, Facebook, publicación.
Research and Analysis on Marketing Strategies for University Library WeChat Public Platform Based on 4I Theory

WeChat has become an increasingly important platform for resources, space and services of University Library and an effective communication platform with readers. Better operation and marketing of this platform is worthy of in-depth study. Based on the â€œInteresting, Interests, Interaction, Individualityâ€ (4I) marketing theory under the background of Internet, this paper analyzes and studies the content marketing strategy of WeChat public platform of University Library from multiple aspects, such as data analysis, case study, user study and â€œStrength, Weakness, Opportunity, Threatâ€ (SWOT) analysis. Finally, the practical marketing strategy for the WeChat public platform of university library, especially for the freshmen public platform, are obtained.
REVIEW PAPER ON BITCOIN TECHNOLOGY

Bitcoin is a cryptocurrency (digitized money) and is a worldwide decentralized payment system that is allowed and kept alive due to the technology called Block Chain.TheTnetworkTconsistsTofTpeer-to-peer transactions and these transactions are verified by using cryptography technology bank.Chain technology keeps the records of public distributed ledger.Bitcoins can be earned as a reward through mining.This currency can is convertible into other currencies, products and services.Bitcoin has been emerging as famous digital currency and getting popularity all over for quick transition.Moreover, bitcoin will be a financial asset because it has profitable results.The purpose of this research study is to explain complete working of bitcoins technology, highlights applications and research challenges to be address and current future international market scope of Bitcoin technology.
Implementasi Rekam Medis Elektronik dengan Sistem Pendukung Keputusan Klinis

Abstract— the community has the right to get quality and affordable health services. One effort to realize quality health services is the electronic medical record. The RME application is expected to be integrated between health services and has a function as a clinical decision support system. The purpose of this study is to implement the RME application in the educational clinic and evaluate the user's satisfaction about the RME application has been implemented. The method used for RME implementation was parallel implementation and evaluation of user satisfaction by the end user computing satisfaction method. Implementation of the RME application was carried out for 2 months in the educational clinic, from September to October 2019. The study involved 2 doctors, 1 registration officer, 2 nurses and 1 pharmacy officer. The results of RME application research can be implemented in educational clinic, RME applications with clinical decision support system in the form of blood pressure, risk of Diabetes Mellitus, risk of stroke, interaction of drug content with a history of allergies, as well as abnormal warnings of laboratory and radiological examination results.
Showing the way to integration of digital technologies into education : Québec’s Reference Framework of Cross-curricular Digital Competencies

profession 27(3), 2019 • 13 C HRONIQUE • Technologies en éducationIn September 2018, Google celebrated its 20th birthday, and in January 2019, Wikipedia reached the age of majority (18 years).For two decades, and together with Facebook (2004), YouTube (2006), Twitter (2006), and Instagram (2010), these tech giants have been altering the course of humankind.Who can foretell where all this will end?We have been swept up in a whirlwind, a vortex of evolving digital technologies that are reshaping societies economically, socially, and culturally.And this momentous upheaval has not spared education systems, from pre-kindergarten to university.In an increasingly digitized world where youth are completely captivated by screens and apps, teachers have no choice but to buy into digitally assisted pedagogy.Importantly, this will help students develop the diverse dimensions of the digital competencies they will need to get by.However, as a cautionary note, a slapdash, seat-of-the-pants approach to digital integration may result in disappointing outcomes (see Tondeur et al., 2016), as evidenced by the many empirical studies of unsuccessful attempts (Zheng et al., 2016).Furthermore, the ways that educators use digital technologies tend to have conspicuous effects on student motivation and engagement (Cudney et al., 2017), whereas the effects on learning may be less immediately apparent (Chauhan, 2017).
Annotation Guideline No. 7: Guidelines for annotation of narrative structure

Analysis of narrative structure can be said to answer the question “Who tells what, and how?”. The first part of the question thus concerns aspects such as who is narrating, whether it is a character in the story or not, and if it is a first-person or third-person narrator. The second part is related to the story and its basic elements: characters and events, and how the sequence of events forms a plot. The third part concerns how the narrative text is constructed: ordering of the events, the perspective from which the story is seen, how much information the narrator has access to, etc.
Microblogging with Padlet: Students’ New Writing Experience on A2–B1 Common European Framework of Reference for Languages (CEFR)

This research work aims to answer the question, compared to conventional media, whether the use of Padlet as a microblogging platform can improve students' German writing skills for A2 - B1 level CEFR standard. Students in the class A wrote with conventional paper sheet. Meanwhile, students in the class B wrote essay writing assignment through the Padlet platform. The study took place in Malang, Indonesia and lasted for one semester. In summary 45 students participated. The pre-test data indicated that there is no difference in the results of the pre-test in the control class and experiment class. The post test scores were obtained from two writing assessments in both classes. The test results indicated the data value sig 0.326 in the ANOVA table, which means that there are no differences in the post-test results in the two classes. Thus, it was concluded that the use of Padlet in microblogging activities in writing did not affect the results of student writing scores. Nevertheless, the use of Padlet has not any disadvantages, whereas students get additonal digital skills and respond additionally positively to the use of Padlet.
Technology in the Realm of Education

When talking about the concept of "frontier", it is commonly understood as a physical, cultural, social or ideological limit that serves to mark the differences between the parts that are left on either side of that real, imaginary or abstract limit.That is, a line, a barrier, a wall, which divides; which determines the position or belonging of each other.Sometimes, the differences between both sides are so large that they generate gaps, unevenness.The causes of these differences may be caused by economic, political, educational, technological factors, to name a few (Ford, 2019: 34).But these factors are not independent, autonomous actors, but exert a mutual and reciprocal influence; they are boosted or limited, causing the gaps to widen or narrow or, even, that the boundaries can be crossed, temporarily or permanently displacing or erasing borders (Lee, & Lee, 2009: 49).The technological revolution that we have been experiencing in the last century produced an economic development that, in turn, transformed today's societies, and with them the educational system and the needs of the citizens.In order to meet these new needs, it is essential to prove that some of these borderlines are not continuous; that both sides can communicate through an integrative dialogue.
Application of New Materials in Contemporary Landscape Design

Throughout history, people’s pursuit of “beauty” has never stopped. From the natural beauty of the past to all kinds of novel beauty, the new generation of landscape architects have tried many new design techniques and new applications. As a result, the development of new materials and technologies has received increasing attention. The new material is an indispensable and important factor in landscape design. It witnessed the urban development process and appeared more frequently with a new face. This study mainly explains the impact of different materials on the development of different eras, introduces the current status of new materials, summarizes the characteristics of new materials, and summarizes the ways in which new materials are used in contemporary landscapes. Finally, the future development trend of the new materials is prospected. It is hoped that this research will provide some suggestions for the current domestic landscape design practice to a certain extent, and build a bridge between design theory and practice.