Reviewerly/exHarmony huggingface dataset:
Selectively Connected Self-Attentions for Semantic Role Labeling

Semantic role labeling is an effective approach to understand underlying meanings associated with word relationships in natural language sentences. Recent studies using deep neural networks, specifically, recurrent neural networks, have significantly improved traditional shallow models. However, due to the limitation of recurrent updates, they require long training time over a large data set. Moreover, they could not capture the hierarchical structures of languages. We propose a novel deep neural model, providing selective connections among attentive representations, which remove the recurrent updates, for semantic role labeling. Experimental results show that our model performs better in accuracy compared to the state-of-the-art studies. Our model achieves 86.6 F1 scores and 83.6 F1 scores on the CoNLL 2005 and CoNLL 2012 shared tasks, respectively. The accuracy gains are improved by capturing the hierarchical information using the connection module. Moreover, we show that our model can be parallelized to avoid the repetitive updates of the model. As a result, our model reduces the training time by 62 percentages from the baseline.
Video Object Segmentation with Weakly Temporal Information

Video object segmentation is a significant task in computer vision, but its performance is not very satisfactory.A method of video object segmentation using weakly temporal information is presented in this paper.Motivated by the phenomenon in reality that the motion of the object is a continuous and smooth process and the appearance of the object does not change much between adjacent frames in the video sequences, we use a feed-forward architecture with motion estimation to predict the mask of the current frame.We extend an additional mask channel for the previous frame segmentation result.The mask of the previous frame is treated as the input of the expanded channel after processing, and then we extract the temporal feature of the object and fuse it with other feature maps to generate the final mask.In addition, we introduce multi-mask guidance to improve the stability of the model.Moreover, we enhance segmentation performance by further training with the masks already obtained.Experiments show that our method achieves competitive results on DAVIS-2016 on single object segmentation compared to some state-of-the-art algorithms.
Multiagent Task Planning Based on Distributed Resource Scheduling under Command and Control Structure

For task planning of the command and control structure, the existing algorithms exhibit low efficiency and poor replanning quality under abnormal conditions. Given the requirements of the current accusation architecture, a distributed command and control structure model is built in this paper based on multiagents, which exploits the superiority of multiagents in achieving complex tasks. The concept of MultiAgent-HTN is proposed based on the framework. The original hierarchical task network planning algorithm is optimized, the multiagent collaboration framework is redefined, and the coordination mechanism of local conflict is developed. With the classical resource scheduling problem as the experimental background, the proposed algorithm compared with the classical HTN algorithm is drawn. According to the experimental results, the proposed algorithm exhibits higher quality and higher efficiency than the existing algorithm and the space anomaly is significant in the course of processing. The planning is more efficient and the time is more complicated and superior in solving the same problem, and the algorithm exhibits good convergence and adaptability. In the conclusion, it is proved that the distributed command and control structure proposed in this paper exhibits high practicability in relevant fields and can solve the problem of distributed command and control structure in a multiagent scenario.
Evaluating the Technical Feasibility of Retention Basins for Flood Control in Palembang City

Flood control is one of the prevention methods which involves various engineering sciences and is unique. One of structural flood control methods is retention basin with the goal of containing a certain storm event flow volume and obtaining a specific peak flow reduction. This paper’s objective is to describe how to assess the performance of retention basin physical components quantitatively on seven retention basins in Palembang City. The reference and the parameter used in this research are referred to Drainage Systems Assessment Design (Vadlon, 2011) that is based on Standard Procedure of Retention Basins and Polders Construction according to Public Works Ministry of Cipta Karya Directorate General and the Regulation of Public Work Ministry No.32/PRT/M/2007. The result of the assessment is that there are three retention basins which are in good condition, namely Kambang Iwak Besak (63,9%), Simpang Polda (60,34%), and Kambang Iwak Kecil (56,8%); meanwhile the other four basins are in bad conditions, namely RS. Siti Khodijah (43,01%), Palembang Icon (41,93%), Kemang Manis (7,03%), and Brimob (0,94%). Therefore, the assessment of the retention basins towards its effectiveness on flood controlling and handling priority level is done by hydraulic modeling simulations and GIS. 4. Based on the inundation priority assessment of simulated flood depth and duration, it can be inferred that the retention basin of Kambang Iwak Besak, Kambang Iwak Kecik, Palembang Icon, RS Siti Khodijah, and Kemang Manis have low priority handling level. Meanwhile, Brimob and Simpang Polda retention basins have high priority handling level.
Low cost structured-light based 3D surface reconstruction

Abstract In an increasingly specialized industry with strong demands from end users, product quality plays a key role in industrial manufacturing, where the quality impact highly depends on the final product and its application. An important parameter for quality control is the surface finish of objects, essential for determining their technical suitability. Therefore, measuring the surface levelness can be critical to ensure that the finished material meets the design specifications. In this work, we propose an effective yet low-cost solution using out-of-the-shelf components, which is based on the structured light principle for depth/3D measurements (line laser). By means of laser triangulation, this solution can provide rapid and accurate levelness measurements both in 1D profiles and 2D maps for a relatively wide range of sizes, materials and other conditions. The experimental evaluations show a satisfactory performance with a great trade-off between accuracy and cost, becoming not only a rapid but a cheap solution, making it ideal for quick inspections in diverse environments.
Effective image data points extraction via decision tree based on feature classifier

Image data points mining is concerned with the extraction of knowledge relationship among image data and other patterns inherent in the images. Taxonomy-Aware Catalog Integration (TCI) processing step ensures that the master taxonomy Rule-based Multivariate Text Feature Selection (RMTFS) method takes into consideration both the semantic information and the syntactic relationships between n-gram features. In realizing the relationship between the attributes, the Decision Tree-based Label Feature Classifier (DTLFC) mechanism is proposed. In the initial step in the DTLFC mechanism, pixel-wise image feature points are extracted and the same is converted into a table of a database. The feature descriptor thus formed by combining a features set and a specific pixel's label is represented by a tuple of the transformed database table and helps in the generation of the decision tree using a given image points data set in constructing a pixel-wise image processing model. Both experimental and theoretical analysis demonstrate that the DTLFC mechanism can attain a very efficient and effective level of classification on image data points. Compared with the TCI and RMTFS methods, the DTLFC mechanism creates an effective feature classifier in terms of filtering efficiency, classification accuracy, processing time, computational cost, scalability, and the intensity rate of dominant attributes.
ANALISIS AKUNTABILITAS, TRANSPARANSI DAN EFEKTIVITAS PENGELOLAAN DANA BANTUAN OPERASIONAL SEKOLAH (BOS) (STUDI KASUS PADA SMP NEGERI 3 DAN SMP ISLAM YPUI DARUL ULUM DI KOTA BANDA ACEH)

The purpose of this study was to determine the implementation of accountability, transparency, and effectiveness in managing the School Operational Assistance (BOS) funds in public and private Junior High School in Banda Aceh City. This research involved two objects, Junior High School 3 Banda Aceh and Islamic Junior High School YPUI Darul Ulum. This research used the qualitative descriptive method and also used primary and secondary data in data collection. The primary data were obtained directly by interviewing informants that were BOS coordinator in Education and Culture Services of Banda Aceh City and school BOS team consisting of the school principal and BOS treasure. The data were collected by direct observation in the field. The secondary data were collected by using documentation technique. In analyzing the data, the researcher used data reduction, data presentation, and data verification. The result of the study showed that the accountability, transparency, and effectiveness in managing the School Operational Assistance (BOS) funds in Junior High School 3 Banda Aceh were in accordance with the Regulation of the Minister of Education and Culture (Permendikbud) No. 26 of 2017 which reflected good governance, while the management of the School Operational Assistance (BOS) funds in Islamic Junior High School YPUI Darul Ulum Banda Aceh in terms of transparency was still not perfect, but in terms of accountability and effectiveness were in accordance with the Regulation of the Minister of Education and Culture (Permendikbud) No. 26 of 2017.
DAMAGE LEVEL PREDICTION OF MULTI-STORY STEEL STRUCTURE IN SUMATRA USING BACKPROPAGATION NEURAL NETWORK

Sumatra is one of the Indonesia islands that is prone to earthquakes both tectonic and volcanic. The research aims to predict the damage level of a multi-story steel structure due to the earthquake in Sumatra Island using the Backpropagation Neural Network (BPNN). The study used the steel structure building that received earthquake loads from ten capital cities of the province on Sumatra Island. The structure analysis used the finite element software while the BPNN method used the MATLAB Programming. The input data were the responses of the structure such as displacement, velocity, and acceleration while the output was damage level of the steel structure model. The model of BPNN has the potential accuracy to predict the damage level of steel structural more than 95%. According to the simulation result, 98,5% data could be predicted correctly by the BPNN method, and the best Mean Squared Error (MSE) is 0.028. These results have shown that BPNN can predict the damage level of multi-story steel structure in all the capital cities of the province on Sumatra Island.
Usability Problems and Obstacles to Addressing Them in Health Information Software Implementations

Usability is widely recognized as a desired attribute of technology, referring to how usable it is to the intended users. As health information systems in developing countries are increasingly digitalized, interaction with familiar analog technologies is replaced by digital user interfaces for many health workers. An array of literature documents usability problems in such initiatives, arguing for their adverse effects on the users, and the system as a whole. What makes it challenging to achieve usability in this context has, however, not been explored extensively. This empirical paper attempts to bring focus to this gap, by defining the concept of usability design obstacles, which refer to aspects that complicate the usability design process. The relevance of the concept is illustrated through three empirical vignettes based on two action research projects in Uganda and India. Three concrete obstacles are outlined. These are (1) constraints introduced by software, (2) constraints introduced by legacy design, and (3) scale and heterogeneity of user groups. It is argued that to address the usability problems commonly outlined and discussed by existing literature, more focus on how to overcome such usability design obstacles is crucial. The obstacles identified in the empirical case of this paper also represent avenues for further research, which are discussed.
Automatic Text Summarization Based on Semantic Networks and Corpus Statistics

One simple automatic text summarization method that can minimize redundancy, in summary, is the Maximum Marginal Relevance (MMR) method. The MMR method has the disadvantage of having parts that are separated from each other in summary results that are not semantically connected. Therefore, this study aims to compare summary results using the MMR method based on semantic and non-semantic based MMR. Semantic-based MMR methods utilize WordNet Bahasa and corpus in processing text summaries. The MMR method is non-semantic based on the TF-IDF method. This study also carried out summary compression of 30%, 20%, and 10%. The research data used is 50 online news texts. Testing of the summary text results is done using the ROUGE toolkit. The results of the study state that the best value of the f-score in the semantic-based MMR method is 0.561, while the best f-score in the non-semantic MMR method is 0.598. This value is generated by adding a preprocessing process in the form of stemming and compression of a 30% summary result. The difference in value obtained is due to incomplete WordNet Bahasa and there are several words in the news title that are not in accordance with EYD (KBBI).
University-Enterprise Cooperative Education Mode in the Context of Emerging Engineering Disciplines

From the strategic perspective of adapting to the development of economy in the new era, the Chinese Ministry of Education has recently proposed a new concept of "Emerging Engineering Disciplines", aiming to strengthen and deepen the reform and innovation of Chinese higher engineering education. The implementation of university-enterprise cooperative education to enhance students’ innovative abilities is one of the focuses of that. With the new concept, this paper gives an account of a case study conducted at Wuhan University of Technology (WUT) to investigate the implementation plan of cooperative education between universities and enterprises. The university-enterprise cooperative education mode was introduced in the context of emerging trends in engineering. In this mode, universities and enterprises cooperate to formulate cultivation program, construct a practice training system and an open teaching system, trying to emerge the mechanisms of integrating social resources, a project-driven training, and a participation in entire industry process.
Introduction to Serials Cataloging with Resource Description and Accss (RDA)

This one-day pre-conference workshop, presented by Steve Shadle at NASIG 2018, was based on an abridged version of the Serials Cooperative Cataloging Training Program (SCCTP) Basic Serials Cataloging Workshop. Two sections of the workshop materials were omitted in order to complete the workshop in one day: Module 5-–Describing Carriers and Content, and Module 9–-Identifying Appropriate Copy. Module 10-–Working with Copy, was covered briefly. The overall goal of the workshop was to enable participants to catalog a “straightforward” print serial resource and to be able to understand elements of a serials cataloging record. The workshop focused primarily on cataloging print serials.
THE STUDY OF THE USE OF POPULAR NOVELS TO IMPROVE READING INTEREST AND ENGLISH PROFICIENCY

AbstractThe aim of the study "The study of the use of popular novels to improve reading interest and English proficiency" is to find out how teachers, parents and students views on popular novels especially KKPK and Teen Lit novels. KKPK and Teen-Lit novels are easily available anywhere and favored by children and adolescents are interesting topic to study The research method is descriptive qualitative. The results show that the novels have many positive impacts. In terms of language, help to develop language and vocabulary. In terms of emotions, help to develop emotional intelligence. In terms of English, help students to learn the structure of sentences and apply them in social media. To increase reading interest, any subject of reading will be better for students while performed it regularly with parents or teachers, without any disruption such as gadgets or television. Keywords: KKPK, teen-lit,novels, reading interest, English proficiency
Hill Cipher Cryptosystem over Complex Numbers

The Hill Cipher cryptosystem is a symmetry key cryptosystem. This cryptosystem uses the concept of integer over modulo p. This cryptosystem uses a matrix K as a secret key. We must choose the key matrix K which has an inverse in modulo p. This secret key matrix will be used by the sender and recipient of the message to encrypt and descript the message. For this reason, this paper will discuss the generalization of Hill Cipher using matrices over complex numbers. Calculation of determinants and inverses of the matrix K will adopt a system of determinant and inverse calculations on Hill Cipher. The results show that the proposed cryptosystem scrambles the plaintext.
The Prediction of Serial Number in OpenSSL’s X.509 Certificate

In 2007, a real faked X.509 certificate based on the chosen-prefix collision of MD5 was presented by Marc Stevens. In the method, attackers needed to predict the serial number of X.509 certificates generated by CAs besides constructing the collision pairs of MD5. After that, the randomness of the serial number is required. Then, in this case, how do we predict the random serial number? Thus, the way of generating serial number in OpenSSL was reviewed. The vulnerability was found that the value of the field “not before” of X.509 certificates generated by OpenSSL leaked the generating time of the certificates. Since the time is the seed of generating serial number in OpenSSL, we can limit the seed in a narrow range and get a series of candidate serial numbers and use these candidate serial numbers to construct faked X.509 certificates through Stevens’s method. Although MD5 algorithm has been replaced by CAs, the kind of attack will be feasible if the chosen-prefix collision of current hash functions is found in the future. Furthermore, we investigate the way of generating serial numbers of certificates in other open source libraries, such as EJBCA, CFSSL, NSS, Botan, and Fortify.
Experiencing a Mirrored World with Geotagged Social Media in Geollery

We demonstrate the online deployment of Geollery, a mixed reality social media platform. We introduce an interactive pipeline to reconstruct a mirrored world at two levels of detail - the street level and the bird's-eye view. Instead of using offline 3D reconstruction approaches, our system streams and renders a mirrored world in real time, while depicting geotagged social media as billboards, balloons, framed photos, and virtual gifts. Geollery allows multiple users to see, chat, and collaboratively sketch with spatial context in this mirrored world. We demonstrate a wide range of use cases including crowdsourced tourism, interactive audio guide with immersive spatial context, and meeting remote friends in mixed reality. We envision Geollery will be inspiring and useful as a standalone social media platform for those looking to explore new areas or looking to share their experiences. Please refer to https://geollery.com for the paper and live demos.
Predicates of Indonesian and English Simple Sentences

This paper was developed from a research report presented in The Third Southern Region of Sumatera TEFLIN held by Sriwijaya University in 2014. Comments recieved by the participants of the seminar and following studies done on the topic made it possible for this article to find its way to be published in a journal. As Indonesian and English sentences realize their predicates by using different kinds of syntactic categories, most learners of English having Indonesian as their linguistic background face difficulties in understanding the language. This is a contrastive study done by conducting an analytical analysis on simple sentences of both languages. The result of this research shows that both English and Indonesian sentences employ verbs as their predicates. However, in addition to verbs, Indonesian sentences also use other kinds of syntactic categories such as nouns, adjectives, etc. to be the predicates of sentences. These main differences of English and Indonesian systems have to be underlined in learning process and teaching English to learners in order to avoid grammatical mistakes.
MEMIKIRKAN KEMBALI PERSPEKTIF SOSIOLOGIS: Upaya Peningkatan Mutu Kualitas Artikel di Jurnal Sosiologi Reflektif

This article aims to enhance the quality of paper submitted to Jurnal Sosiologi Reflektif (JSR) by exploring some weaknesses of submitted articles to JSR within two last editions of using online journal system. Based on reasons used by the management of JSR in rejecting submitted articles at the first stage, which shows that around 23 percent of them are due to the lack of sociological perspective or framework, it is important to reconsidering the meaning of employing sociological perspective the the article. The ability to understand the basic characteristics of sociological analysis becomes the most fundamental requirements in producing a good sociological article. How we should formulate a good sociological question will determine the quality of a sociological paper. At this point, reconsidering and understanding how we should use a basic concept of sociological imagination in formulating a research question will help to focus an article on being strongly considered as sociological, in addition to the use of sociological theories. Besides, many articles are not built upon an adequate literature review. Some of them use literature reviews as making a summary of other people have done without further discussing their differences and contributions both theoretically and practically.
Petrol, Gaz ve Madencilik Endüstrisinde Bilgi Gösterimi için Ontoloji Temelli bir Yaklaşım

Although there are some works applying semantic web technologies in oil, gas, and mining industry, most of them involve finding and analyzing the data from a variety of activities such as drilling, exploration and production. On the other hand, it is also possible to develop semantic web applications that may dramatically reduce cycle times and indirect costs. This work is a practice that bridges the gap between semantic web technologies and oil, gas, and mining industry. We propose a prototype drilling tools ontology. We populate the ontology focusing on drill bit concept as a starting point. In the population phase, we used existing spreadsheet documents, product catalogs and web pages containing product data. We document clearly what has been learned from the experience of building the ontology and how the experience can inform the work of other investigators. The same ontology population methods apply also to other products; therefore, the applicability of our work extends well beyond the specific products we are considering in our project. This ontology is also used in a prototype drill bit marketplace portal, which supports searching and comparing drill bits of different vendors.