Reviewerly/exHarmony huggingface dataset:
Local Gray World Method for Single Image Dehazing

Images taken outdoors are often degraded by atmospheric conditions such as fog and haze.These degradations can reduce contrast, blur edges, and reduce saturation of images.In this paper we propose a new method for single image dehazing.The method is based on an idea from color constancy called the gray world assumption.This assumption states that the average values of each channel in a picture are the same.Using this assumption and a haze degradation model we can quickly and accurately estimate the haze thickness and recover a haze free image.The proposed method is validated on a synthetic and natural image dataset and compared to other methods.The experimental results have shown that the proposed method provides comparable results to other dehazing methods.
The Development of Online Learning Media Based Android on Students Development Subject

The purpose of this study is to determine the form of an online learning media based android on Students Development subject and to determine how the students assessment against android application developed.This study is a research and development.Researchers use ADDIE research groove namely Analysis, Design, Development, Implementation and Evaluation.In the analysis phase, researchers conducted interview with students in Primary Teacher Education to find out the application form required in the subject of Students Development with blended learning model.Furthermore, researchers designed the initial shape and structure of the application work.After the initial shape and structure have been defined, the researchers develop android application using android software studio accordance with the application form needed by the students.The material used by researchers on android application is the material according to the syllabus of Student Development Subject and the researchers also developed a Semester Lecture Plan in accordance with the design of blended learning model.In the implementation phase, the researchers asked two experts are subject matter expert and media expert to assess the application developed.In implementing phase, the researchers also asked students from the Department of Primary Teacher Education as many as 30 people to give their assessment of the application developed including providing assessment of the implementation of online learning using android application.Media expert gives a value of 75.50 with an average of 3.41 and categorized as very feasible.For the material, the researchers asked the expert that truly understand even master the Students Development subject.Material expert provides an assessment of 59.50 with an average value of 3.71 and considered good and decent.Students give value to this application at 72.85 with an average of 3.60 and the category is decent.
Effective Requirement Engineering Process Model in Software Engineering

Requirement Engineering is regarded as one of the major stages in software development and management.The aim of requirement engineering is to analyse, investigate, document and check the services and also the constraints of the software system that is being developed.The world of requirement management has increasingly developed over the years and has become the cornerstone for any software development to be successful, therefore it is vital for every organization to consider and pay more attention to the requirement engineering if they intend to build a quality software product that will satisfy the users.Different viewpoints, objectives, roles and responsibilities are all incorporated into requirements engineering which makes it a difficult and complex process in software engineering.Many researchers have come up with different optimized approaches to the requirement engineering.This paper reviewed relevant literature from Elsevier, Emerald, IEEE, ProQuest and Google Scholar databases.Requirement engineering processes are further outlined and explained which include requirement elicitation and development, validation and verification etc.In conclusion, the paper recommends effective requirements engineering process to adopt depending on the industry's goal.
Learning Fractional Orthogonal Latent Consistent Features for Face Hallucination and Recognition

Face hallucination (FH) is a powerful technique to reconstruct high-resolution (HR) faces from low-resolution (LR) faces. Most of conventional FH techniques ignore the influence of small training data, which may lead to the bias of variance and covariance. In this paper, we propose a novel FH method via fractional orthogonal latent consistent features that we call fractional orthogonal partial least squares based FH (FOPLSFH). In the proposed FOPLS-FH, intra- and cross-resolution covariance matrices are re-estimated through fractional-order eigenvalues and singular values modeling. Experimental results on real-world face datasets demonstrate the effectiveness of the proposed FOPLS-FH method.
<i>How to Fall Slower than Gravity: And Other Everyday (and Not So Everyday) Uses of Mathematics and Physical Reasoning</i> by Paul J. Nahin. Princeton University Press, Princeton, NJ, U.S.A., 2018. 320 pp., illus. Trade. ISBN: 978-0691185026.

April 01 2020 How to Fall Slower than Gravity: And Other Everyday (and Not So Everyday) Uses of Mathematics and Physical Reasoning How to Fall Slower than Gravity: And Other Everyday (and Not So Everyday) Uses of Mathematics and Physical Reasoning by Paul J.Nahin. Princeton University Press, Princeton, NJ, U.S.A., 2018. 320 pp., illus. Trade. ISBN: 978-0691185026. Phil Dyke Phil Dyke Search for other works by this author on: This Site Google Scholar Author and Article Information Phil Dyke Online Issn: 1530-9282 Print Issn: 0024-094X ©2020 ISAST2020ISAST Leonardo (2020) 53 (2): 223–224. https://doi.org/10.1162/leon_r_01865 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Phil Dyke; How to Fall Slower than Gravity: And Other Everyday (and Not So Everyday) Uses of Mathematics and Physical Reasoning. Leonardo 2020; 53 (2): 223–224. doi: https://doi.org/10.1162/leon_r_01865 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsLeonardo Search Advanced Search This content is only available as a PDF. ©2020 ISAST2020ISAST Article PDF first page preview Close Modal You do not currently have access to this content.
Expert System to Identify Risk Factors of Toddler’s Nutrition Status with Case Based Reasoning

In 2012, Indonesia was the 5th most malnourished country in the world. This rank is affected by the population of Indonesia which ranked fourth in the world. Toddler malnutrition is a hot issue in Indonesia, and it is the basis of programs that supported by goverment to remedies these problems. The number of malnourished children in Indonesia is currently around 900 thousand people. The amount is 4.5 percent of the number of Indonesian children, which is 23 million people. For this reason it is important to predict the nutritional status of children so that preventive measures can be taken to reduce the number of malnutrition status in children in Indonesia. This study aims to apply the Modified K-Nearest Neighboar (M-KNN) method to identify risk factors for toddler nutritional status. The data used in this study is a combination of two types of data sources (primary and secondary data), where the data is obtained from posyandu in Malang. This study uses anthropometric assessment variables for weight and age. The steps taken include: data input, determination of the value of k, calculating the value of validity and the value of weight voting. Furthermore, to measure the performance of the proposed method, measurement is carried out by calculating the accuracy value of the predicted results. From the results of testing with variations in the value of k obtained an accuracy value of 75% using 295 nutritional status data of toddlers, with neighbors k which is the best value of k = 4.
Semantics of the Kalmyk Modal Particle биз: a Case Study of Kalmyk National Corpus and Interview Data

Studies of Kalmyk particles are topical enough since the latter remain understudied, and it is urgent to identify their semantics for further analysis of their modality category within the examined language; besides, there has emerged significant interest in issues of semantics and polysemanticism as such. Goals. The paper deals with semantics of the modal particle биз ‘probably, possibly, likely, evidently’ that usually expresses doubt regarding the articulated narrative. Materials. The work analyzes texts of Kalmyk National Corpus (http://kalmcorpora.ru) containing 9 million tokens and approximately 7 million word usages. Examples with the analyzed particle биз ‘probably, possibly, likely, evidently’ were selected through the continuous sampling method. Results. The particle бизexpresses semantics of certainty / uncertainty (reliability / unreliability), the latter being of three types: suppositional certainty, suppositional uncertainty, and epistemic certainty. Functionally, it serves to remove assertiveness of a narrative, i.e. neutralizes indicativeness and transforms a real proposition into neutral one. The particle биз marks the category of indirect evidentiality, drawing no distinct line between inferentiality and presumptiveness. In certain contexts, the lexeme can also express — apart from certainty / uncertainty — semantics of positive emotiveness, thus denoting expectation, good feeling and faith in future. Moreover, in some contexts биз grows to lose certainty / uncertainty meanings, becoming reduced to impersonal predicative semantics of assessment of action / condition (of actions / conditions) from intellectual and emotional perspectives.
Evolution of ERP Cybersecurity

When we think of Cyber attacks or Cybersecurity the Enterprise Resource Planning or ERP applications of an organization never come to our mind.This is strange given that the ERP applications hold some of the most important data, sometimes referred to as "crown jewels" within them.So, it should not come as a surprise that within the last few years ERP systems have become a lucrative target for cyberattacks.
Sistem Pendukung Keputusan Dalam Menentukan Aparatur Sipil Negara Terbaik Pada Kantor Camat Siantar Utara Dengan Metode ELECTRE

Siantar Utara District Office is one of the sub-districts in the Pematangsiantar city, North Sumatra Province. Through this sub-district office, residents can take care of various forms of licensing. At the subdistrict office also routinely held awards to employees which are held every three months which were previously counted on the excel application. The calculation process determines the best employee that the writer does, namely with the Excel application and uses the web-based ELECTRE method. Based on the final results obtained from the calculation results in both the excel application and the web-based application, alternative A1 with Ekl = 4 value, alternative A2 with Ekl = 4 value, alternative A3 with Ekl = 0 value, alternative A4 with Ekl = 2 value , alternative A5 with the value Ek = 2 From this decision support system, the final result is obtained with alternative A1 with the value Ekl = 4 as the best employee.
Study on Image Retrieval Method for Color Information

According to the research on image retrieval method for color information, this paper compares several mainstream image retrieval methods for color information, and mends the problem that local segmentation of color space is not accurate enough and the traditional similarity measurement methods cross the weights of different color channel. Through the use of general histogram method and cumulative histogram method for image retrieval of MTM color space and HSV color space, the retrieval results show that the cumulative histogram method is more effective.
A Shallow Prediction Model with Enhanced Features for Video Time Series

Abstract Fast video time series prediction is an important part in video anomaly detection in deep learning framework. Time series deep learning models have good performance in time-series data prediction, such as traffic flow, rainfall and network traffic. The models, such as ConvLSTM, ConvGRU with complex structure and large amount of computation, are difficult to fit the video time series prediction. In this paper, we analyze data characteristics of video sequences and propose a shallow video series prediction model. We not only consider the spatial correlation in continuous video frames, but also investigate the interval video frames, which also maintain spatial correlation. We explore the gray scale pixel values of the interval frames which appear specific trend properties when we connect the context pixels together. Based on the enhanced features, we design a shallow 2D convolutional video time series prediction model with good prediction performance and much less total parameters.
Conceptual impasse in the development of modern Russian education and possible ways out

The article analyzes the problems currently existing in the system of Russian education, the reasons for their occurrence and possible ways out of this situation. The author examines the foreign and Soviet experience in reforming the educational system, paying particular attention to the value and ideological orientations that have become the basis for the educational systems of different countries. Turning to the peculiarities of forming the Soviet system of education and upbringing, the author expresses the opinion about the need for a detailed study of the Soviet experience in the upbringing and training of the «new man», which can be used in modern Russia at the moment. Analyzing the influence of the concept of the “general idea” on the Russian educational system, the author concludes that it is vitally necessary to use it in the process of reforming the domestic educational system.
Cyber-Security Risks of Fedwire

This paper will review the risks associated with the Federal Reserve's Fedwire network as a key resource necessary for the efficient function of the American financial system. It will examine the business model of the Fedwire system of real-time interbank transfers, the network characteristics of Fedwire, and the possibility of a successful attack on Fedwire and its potential impact on the U.S. financial system.
Functional Structure Tuple Extraction Based on Statistics and Rules

When the vocabulary model represents the features of patent document, the documents are divided into words that are not related to each other. It is difficult to extract the semantic features of the document. If the relationship between words in a sentence is taken into consideration, the functional structure tuples, which extracted as feature of the engineering technology documents, can further improve the classification effect. This article starts with the characteristics of patent document, explores the characterization methods of patent document, and proposes relevant ideas for the extraction of functional structure tuples. After verification, this method can effectively improve the feature extraction effect of patent document.
Current Trends in the Integration of Case-Based Reasoning and Semantic Web

Case-Based Reasoning (CBR) and semantic web are intelligent methods or techniques that have been used in number of critical fields.Both methods have unique strengths and immense potential in problem solving in a wide range of domains.The main aim of this paper is to highlight an overview of the current efforts by researchers to integrate the capabilities of both techniques of CBR and semantic web.Through an analysis on the current literature involving 21 related articles, a taxonomy was developed indicating there were three stands of research focus.First, 38% (n = 8) of the articles involved studies of new methods that combined both techniques.Second, 33.3% (n = 7) of the articles dealt with the development of working frameworks or new approaches.Third, 28.6% (n = 6) of the articles focused on efforts to develop systems that integrated both techniques.In particular, the analysis showed that the medical field was the dominant field in which the integrated technique was widely used in solving medical-related problems.In light of this emerging potential, both techniques can also be applied to help provide efficient and effective problem-solving solutions for other important fields.
Correction to: Neural networks catching up with finite differences in solving partial differential equations in higher dimension

Unfortunately, Figs. 1, 2, and 3 and their respective captions have been placed incorrectly in the online publication of the article.
Tradução de Marcadores Discursivos portugueses para alemão: ‘na verdade’, o que se ganha e o que se perde?

Discourse markers signal discourse coherence and become very important items in the translation process although only recently the problems raised by their translation have begun to capture the attention of researchers. This study intends to contribute to this research area by analyzing the translations of the discourse marker na verdade into German. Drawing on examples from contemporary European Portuguese, the study shows that the marker has three main functions: (i) confirmation; (ii) reformulation; and (iii) contrast. The contrastive analysis carried out in the Europarl corpus reveals that the confirmation value is the most common in this corpus and that the translators opted for a very wide range of equivalents. Although the German marker eigentlich, which scarcely appears in the corpus, could be the most appropriate equivalent to translate na verdade, another discourse marker, tatsachlich, seems to be the preferred choice of professionals, and this option raises pertinent questions in the field of Translation.
" برنامج مقترح قائم علی المشروعات لتنمیة مفاهیم ومهارات ریادة الأعمال لدی طلاب المعاهد العلیا التجاریة وقیاس فعالیته "

The aim of the current research is to build a proposed project-based program to develop concepts and skills of entrepreneurship among students of higher commercial institutes and try it out to measure its effectiveness, to keep pace with the era of the accelerating information revolution that the world is witnessing around us, and with the weakness and limitations of the knowledge and skill level of these students for entrepreneurial concepts and skills, In order to achieve this goal, it already requires defining a list of concepts and skills of entrepreneurship among students of higher commercial institutes, then building the proposed program, as well as preparing an achievement test and a performance test test to measure the effectiveness of the program and experiment with it on a sample. Higher commercial institutes students.The results of the research showed the effectiveness of the proposed program in the acquisition of knowledge and skills of concepts and skills of entrepreneurship among students of higher commercial institutes, for the benefit of post-application of research tools (experimental group 25 students).The research recommended providing material and moral support to train students in the concepts of entrepreneurial skills by the competent authorities, as well as work to motivate students to creativity and innovation in the field of entrepreneurship, and interest in activating commercial laboratories within the higher commercial institutes, directing students to do a project and presented and evaluated by The faculty members of the institute.
Foreword 1968-2018: Fifty years after the Belice’s earthquake.

The aim of this special issue of “Annals of Geophysics” is to follow the seismic thread that, starting with the Belice earthquake (14-15 January, 1968), crosses the recent history of our Country until the days of the 2016 Amatrice seismic sequence. We interpreted the Belice earthquake like the “zero event” for the developing of the connections between the Italian society and the seismic catastrophes, striking Italy in the post-war period. We considered the territory as a unit, made up of geographical, geological, social, historical and urban aspects, proposing nine papers with reflections and readings on these aspects. These reflections concern the geological and structural context in which the Belice earthquake occurred, such as the novelties proposed by the most recent research in geological, geophysical, geochemical and geodetic fields, but also themes and reflections on the impact that the earthquake has had on the Italian and Sicilian societies, on their housing and infrastructural contexts, on the history of our Country.
Outline Extraction with Question-Specific Memory Cells

Outline extraction has been widely applied in online consultation to help experts quickly understand individual cases. Given a specific case described as unstructured plain text, outline extraction aims to make a summary for this case by answering a set of questions, which in fact is a new type of machine reading comprehension task. Inspired by a recently popular memory network, we propose a novel question-specific memory cell network (QSMCN) to extract information related to multiple questions on-the-fly as it reads texts. QSMCN constructs a specific memory cell for each question, which is sequentially expanded in recurrent neural network style. Each cell contains three specific vectors to first identify whether current input is related to corresponding question and then update question-specific case representation. We add a penalization term in the loss function to make extracted knowledge more reasonable and interpretable. To support this study, we construct a new outline extraction corpus, InjuryCase, 1 which is composed of 3,995 real Chinese occupational injury cases. Experimental results show that our method makes a significant improvement. We further apply the proposed framework on two multi-aspect extraction tasks and find that the proposed model also remarkably outperforms existing state-of-the-art methods of the aspect extraction task.
Developing A Mini Research Guide Book On Student Development Subject

This study aims to develop a mini research guidebook on student development subject for first semester education students in Universitas Negeri Medan.This research is a development study following the Borg and Gall model.The subjects were the first semester education's students in Universitas Negeri Medan.Expert's judgment includes content expert and instructional media expert.The method of taking the subject used purposive sampling.The data collection method used a questionnaire.The main field trial used 50 students and the operational field trial used 150 students.The results of the research development is based on the assessment of material experts obtained 97.5 with a very good category, media experts obtained 93 as an excellent category.The main field trial is 95.18 as very good category and the operational field trial is 91.78 as very good criteria.It can be concluded that a mini research guidebook on student development subject is appropriate to be used as a learning media.