Reviewerly/exHarmony huggingface dataset:
VMQ: an algorithm for measuring the Video Motion Quality

This paper proposes a new full-reference algorithm, called Video Motion Quality (VMQ) that evaluates the relative motion quality of the distorted video generated from the reference video based on all the frames from both videos. VMQ uses any frame-based metric to compare frames from the original and distorted videos. It uses the time stamp for each frame to measure the intersection values. VMQ combines the comparison values with the intersection values in an aggregation function to produce the final result. To explore the efficiency of the VMQ, we used a set of raw, uncompressed videos to generate a new set of encoded videos. These encoded videos are then used to generate a new set of distorted videos which have the same video bit rate and frame size but with reduced frame rate. To evaluate the VMQ, we applied the VMQ by comparing the encoded videos with the distorted videos and recorded the results. The initial evaluation results showed compatible trends with most of subjective evaluation results.
Dependency-Aware Attention Model for Emotion Analysis for Online News

This paper studies the emotion responses evoked by the news articles. Most work focuses on extracting effective features from text for emotion classification. As a result, the valuable information contained in the emotion labels has been largely neglected. In addition, all words are potentially conveying affective meaning yet they are not equally significant. Traditional attention mechanism can be leveraged to extract important words according to the word-label co-occurrence pattern. However, words that are important to the less popular emotions are still difficult to identify. Because emotions have intrinsic correlations, by integrating such correlations into attention mechanism, emotion triggering words can be detected more accurately. In this paper, we come up with an emotion dependency-aware attention model, which makes the best use of label information and the emotion dependency prior knowledge. The experiments on two public news datasets have proved the effectiveness of the proposed model.
Restricted Chinese Natural Language Analysis Based on Dependency Grammar Model

Chinese natural language analysis is an important interface between humans and computers. During the analysis, unstructured natural languages were usually input, while a generating structured query language is needed for computer understanding. The paper proposes a method for natural language analysis in some restricted modes based on domain knowledge database, lexical analysis and syntactic analysis. In our approach, a semantic dependency tree is treated as an intermediate language, and semantic dependency analysis model and grammar recognition were used to re-present the input sentence as a structural sentence. An experiment system has been developed based on traffic information database. The experiment results and examples demonstrate that our method can effectively understand various common natural query statements with good usability in restricted situations.
Ship Detection Framework Based on Deep Learning Network

Ship detection and tracking have been recognized as a challenging task in the maritime administration. This paper focuses on the maritime traffic situation, inspects and produces the ship dataset. We improved the existing deep learning method through experiments. It is mainly reflected in the addition of feature reused dense blocks which are used in the feature extraction stage and the addition of contextual information in the low-scale feature map which is used in the multi-scale prediction stage. The improved network model can effectively identify and calibrate the ship image in the dataset, thus improving maritime surveillance efficiency.
An Exploratory Study of Cognitive Based Complexity Measures of Online Algorithms

Measuring the complexity of software has been an insoluble problem in software engineering. Complexity measures can be used to predict critical information about testability of software system from automatic analysis of the source code. In this paper, Improved Cognitive Complexity Metric (ICCM) is applied on C programming language. Since C is a procedural language, the cognitive complexity metric is capable to evaluate any procedural language. This paper presents a cognitive complexity metric named ICCM. First, the metric is analytically evaluated using Weyuker’s properties for analyzing its nature. Secondly, perform a comparative study of the metric with the existing metric such as NCCOP, CFS, CICM and CPCM, and the result shows that ICCM does better than other metrics by giving more information contained in the software and reflecting the understandability of a source code. Also, an attempts has also been made to present the relationship among ICCM, NCCOP, CICM, CFS and CPCM using pearson correlation coefficient method.
Blockchain Technology in Healthcare

This article discusses the possibility and validity of the use of blockchain in health care.When it comes to managing public health the biggest problems that have so far been encountered are data security, sharing and compatibility.If patient information is isolated and stored in several systems that do not allow for the smooth exchange of information, the population health data sets for different patient sets will be insufficient.Blockchain, according to the author, provides a reliable solution to this particular problem.The article discusses in detail the three basic principles of the blockchain: cryptography, distributed books and authentication.The distributed blockchain technology with such properties as immutability, reliability and decentralization, provides the healthcare sector with opportunities to detect fraud, reduce operating costs, smooth processes, eliminate duplication of work, and apply transparency in the health ecosystem.If used correctly, the blockchain will improve security, data exchange, compatibility, data integrity and update, and real-time access.The author of this article points out the importance of using the blockchain for data security in clinical trials, which always require a huge amount of data sets.
Method of Educational Domain Knowledge Content Updating Based on Management Information Interactions

The hierarchical Detailed Value Chain Model and Elementary Management Cycle model of educational domain knowledge content updating is formally described and computerized process measures are proposed.The paper provides a method for updating the knowledge of the analyzed domain, referred to as "enterprise domain", based on enterprise modelling in terms of management information interactions.A method, whose formal DVCM and EMC descriptions are provided in BPMN notation, was designed, allowing to develop a two-level (granular) model for describing knowledge of educational domain management information interactions.In implementing this model and its algorithms in technological terms, a subsystem of enterprise knowledge has been created in a knowledge-based CASE system (computerized knowledge-based IS engineering), performing the function of a domain knowledge database.This method is suitable to discover content related to the business enterprise activities and enterprise software development.The main outcome of enterprise modeling approach is the effectiveness of discovering of the deep knowledge, when education domain frameworks are applicable.A computerized management knowledge measure was created that can be applied not only in chosen subject area updating, but other areas as well, such as: the creation and updating of business knowledge bases, the development of BI measures by implementing knowledge bases, the evaluation of the fullness of accumulated repositories' content.
The Symbiosis of Distributed Ledger and Machine Learning as a Relevance for Autonomy in the Internet of Things

The Internet of Things (IoT) describes the fusion of the physical and digital world which enables assets on the edge to send data to a platform where it gets analyzed.Defined actions are then triggered to influence cross-functional edge activities.Furthermore, on the platform tier functionalities and relations need to be identified and implemented to realize assets operating autonomously and ubiquitously.The exploration of this paper results in the identification of autonomous characteristics and shows functional components to implement autonomous assets on the edge.Distributed Ledger Technology (DLT) and its fusion with Machine Learning (ML) as an area of Artificial Intelligence (AI) provides an integral part to realize the described outline.Thus, the recognition of DLT's and ML's usage in the IoT and the evaluation of the relevance as well as the synergies build the main focus of this paper.
INTERSECTION TYPE SYSTEM AND LAMBDA CALCULUS WITH DIRECTOR STRINGS

The operation of substitution in -calculus is treated as an atomic operation.It makes that substitution operation is complex to be analyzed.To overcome this drawback, explicit substitution systems are proposed.They bridge the gap between the theory of the -calculus and its implementation in programming languages and proof assistants. -calculus is a name-free explicit substitution.Intersection type systems for various explicit substitution calculi, not including λo-calculus, have been studied by researchers.In this paper, we put our attention to -calculus.We present an intersection type system for -calculus and show it satisfies the subject reduction property.
Perangkat Media Terapi Bagi Anak Penderita Fobia Jarum Suntik (Trypanophobia) Menggunakan Teknologi Augmented Reality

Phobia is a condition in which a person experiences excessive fear of a particular object, giving rise to irrational fears that can threaten personal safety. Based on the data obtained from the Siak District Health Office in conducting immunizations at SDN 003 Benteng Hilir, out of 25 class 1 (one) elementary school students who were immunized, 18 of them suffered from needle phobia (Trypanophobia). Therefore, to overcome this problem, it is necessary to build an application as a medium for the therapy of needle phobia. The application that will be built in this study applies augmented reality technology as a mobile-based therapeutic medium. The approach used is systematic desentisiasi to the stage of flooding, where the medical team will guide patients in conducting therapy which begins with providing information about phobias through the application then directs the mobile to the marker bracelet that has been installed in the patient's hand so that the patient can interact with the syringe object directly. Based on the results of tests conducted in blackbox, it can be concluded that the application of trypanophobia can provide sufficiently clear information to patients and can help the medical team quickly control the patient's fear before injection
Cross-Lingual Korean Speech-to-Text Summarization

The development of a cross-lingual text summarization of a language differing from that of the source document has been a challenge in recent years. This paper describes a summarization system built to auto-translate Korean speech into an English summary text. Recent studies have discussed two separate tasks in this area, namely, obtaining the analysis information from one of the two languages by providing early or late translation approaches. The early translation tries to translate the original documents into the target language, and then summarizes the results by considering the information of the translated texts, whereas the late translation approach attempts to summarize the original documents and then translate them into the target language. We propose a method for automatically converting Korean speech into an English summary text. The Korean transcript is segmented and analyzed for sentence clustering. A word-graph is then used to compress and generate a unique, concise, and informative compression. Experiments prove that our method achieves better accuracy in comparison with other methods.
An Implementation in Image Compression Technique and its Effect on Image

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
TEXTILE AS AN ARTISTIC EXPRESSION

Textile which was one of the oldest activity of human history, is a surface that comes into existence by using different techniques.Textile, is one of the basic materials used on the body and in places.We can see textiles with their visual qualities in aesthetical objects, or in design and art with their constructional qualities.The living conditions brought by the twentieth century have created a new and interdisciplinary conceptual understanding of art with different forms of expression.Artistic expressions developed through new approaches also influenced textile art.In this process, on the one hand, tapestry related activities continued in various parts of the world, and on the other hand, textile weaving and different tecniques started to produce three dimensional works, various surfaces and a new field of interdisciplinary art emerged as textile art or fiber art or artistic textiles.In this study, the process of transformation of textile into art object and the formal change of this art are examined by giving examples from the original works of the artists.
Devanagari Script Recognition using Capsule Neural Network

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Penggunaan Model Pembelajaran Outdoor Learning terhadap Kemampuan Menulis Karangan Sederhana Bahasa Jerman Siswa

This study aims to obtain data on the effectiveness of the use of Outdoor Learning learning models on the ability to write simple essays of Class XII Students of SMAK St. Fransiskus Saverius Ruteng, Manggarai Regency, East Nusa Tenggara, The method of this research is the experimental method with One Group Pretest Posttest design. The data collection technique used is the test The ability to write simple essays. Data were analyzed using t test. The population in this study were students of class XII of SMAK St. Fransiskus Saverius Ruteng which consists of one class of 28 people. The sample of this study is a total sample. The results of the data analysis showed th (6,21)&gt; tt (2,052) at a significant level of 0.05. The results showed that the use of Outdoor Learning learning models was effective against Simple Writings Writing Ability of German students.
A new and exciting chapter for the Journal of Numerical Cognition

A New and Exciting Chapter for the Journal of Numerical Cognition Authors John Towse Department of Psychology, Lancaster University, Lancaster, United Kingdom Abstract No abstract available. PDF HTML XML Article info Impact Citations How to Cite License Published at 5. April 2019 https://doi.org/10.5964/jnc.v5i1.214 Issue: Vol. 5 No. 1 (2019) Section: Editorial Share: Z Towse, J. (2019). A New and Exciting Chapter for the Journal of Numerical Cognition. Journal of Numerical Cognition, 5(1), 1-4. https://doi.org/10.5964/jnc.v5i1.214 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX This work is licensed under a Creative Commons Attribution (CC BY) 4.0 International License. PlumX Dimensions Views: Total Abstract PDF HTML XML 280 130 94 18 38
Improved Image Enhancement Method Based on Retinex Algorithm.

In order to improve the visibility of foggy images, this paper uses two models to iteratively refine the image. In the first model, the image is first enhanced by histogram equalization and then enhanced by the Retinex algorithm. In the second model, the image is firstly enhanced with the Retinex algorithm, and then the gamma correction is used to adjust the brightness. From a theoretical analysis and practical experiments, this method improves the sharpness of the image while enhancing the image detail information and restoring the image color.
TECHNOLOGY OF DISTANCE TEACHING OF MATHEMATICS FOR STUDENTS USING «MOODLE» SYSTEM

Problem and goal. This article deals with the problem of improving the quality of mathematical training for students of higher educational institutions on the basis of the introduction of new information technologies. The purpose of the article is to analyze the current state of the problem and to offer the technology of using electronic distance courses developed in the Moodle system for teaching mathematics to full-time and part-time students as a means to increase the quality of mathematical training for students. The research methodology consists in the analysis and generalization of normative legal documents for higher education, students’ curricula in different areas of training, programs, textbooks and teaching AIDS in mathematics. Results. Based on the analysis of the of problems of teaching mathematics to students of higher educational institutions, the necessity of creating electronic distance courses in Moodle aimed at improving the quality of teaching mathematics and the formation of professional competencies in the field of information technologies was substantiated. Conclusion. Today the question of increasing the efficiency of teaching mathematics to students of higher educational institution on the basis of introducing new information technologies becomes urgent. One of the solutions to this issue is the introduction of the Moodle distance learning system in the educational process, which makes it possible to optimize and diversify the forms and methods of work. This system allows the teacher and the students to work at a distance, regardless of their location. The use of electronic distance courses developed in the Moodle system proposed in the article contributes to the effectiveness of mathematical training for students of higher education institutions.
Sistem Pakar Mendiagnosa Penyakit Sampar Menggunakan Metode Hybrid Case Based

Sampar, also known as a pest or black death or plague, is a bacterial infection of Yersinia pestis (Y.pestis), where the disease is actually a zoonotic disease, which is an animal disease transmitted by humans. This disease is caused by the bacterium yersinia pestis which lives on fleas, where these fleas live in rodents (especially mice). Fleas spread disease when sucking rat or human blood. This disease is also called plague due to black patches found in the skin of the patient at the beginning of the outbreak. This pestilence was once an epidemic in 1347-1351 in Europe and other regions and killed approximately 75 million people in the world. This disease in Indonesia is still under monitoring and is one of the infectious diseases in the outbreak law that must be reported to the health office. According to WHO this disease is one of the deadly infectious diseases after infection and patients can die within 24 hours. So that people are more careful with this disease so that they are not exposed to pestilence. Because many people do not recognize the transmission of Yersinia pestis bacterial infections and do not know the symptoms that arise from pestilence. then a system for pestilence is created which aims to better diagnose early onset of this pestilence. The method applied in expert systems and one of them is a case based hybrid. Hybrid case based is one of the mathematical theories for proof based on belief functions and plausible reasoning, which is used to combine separate pieces of information or evidence to calculate a probability of an event (Arthur P.Dempster and Glen Shafer)
La configuración de espacios fractales en la música minimalista

Taking into account the importance of repetition in minimalism and the frequency in the reiterative use of musical motifs in classical forms, this essay tries first to establish a genealogy of repetition throughout the history of music to later explore how recursive forms find their greatest expression in minimalism. We will carry out an analysis on notation, calligraphy and musical grammar, and study the way in which these elements&nbsp; deeply changed during the technological acceleration of the second industrial revolution. We will also see how these transformations allowed a reformulation of musical notation and the definition of music itself. In the last part of this essay, based on the theory of fractal narration by German A. Duarte, we will propose an analysis of the most characteristic works of minimalism in music and address how minimal music shapes fractal spaces.
A Hybrid Question Answering System

In this study, we propose a hybrid Question Answering (QA) system for Arabic language. The system combines textual and structured knowledge-Base (KB) data for question answering. It make use of other relevant text data, outside the KB, which could enrich the available information. The system consists of four modules. 1) a KB, 2) an online module, and 3) A Text- to-KB transformer to construct our own knowledge base from web texts. Using these modules, we can query two types of information sources: knowledge bases, and web text. Text-to-KB uses web search results to identify question topic entities, map question words to KB predicates, and enhance the features of the candidates obtained from the KB. The system scored f-measure of .495 when using KB. The system performed better with f-measure of .573 when using both KB and Text-to-KB module. The system demonstrates higher performance by combining knowledge base and text from external resources.
Application Development using Kivy Framework

This paper focuses on Kivy Framework for application development and its implementation.The main aim is to provide sufficient information about the framework and get acquainted with the installation of the framework on different platforms, components of the framework and KV language, use and implementation of framework with Python Programming.and to serve as a practical guide for Kivy Framework.