Reviewerly/exHarmony huggingface dataset:
Convolutional sparse coding and directional gradient prior based method for single image rain streak removal

In this paper, we address the rain streak removal from a single image. In order to efficiently detect and remove the annoying rain streaks, we propose a global single-directional gradient prior with the L0 norm to model the rain streak. To preserve the abundant information of the background, we learn a convolutional sparse coding (CSC) to represent the background. Furthermore, we develop an alternating direction method of multipliers (ADMM) to solve multi-variable optimization problems. Experiments on synthesized and real-world images show that the proposed method outperforms state-of-art methods in terms of rain streak removal and background preservation.
Further results on LCD generalized Gabidulin codes

&lt;abstract&gt;&lt;p&gt;Linear complementary dual (abbreviated LCD) generalized Gabidulin codes (including Gabidulin codes) have been recently investigated by Shi and Liu et al. (Shi et al. IEICE Trans. Fundamentals E101-A(9):1599-1602, 2018, Liu et al. Journal of Applied Mathematics and Computing 61(1): 281-295, 2019). They have constructed LCD generalized Gabidulin codes of length $ n $ over $ \mathbb{F}_{q^{n}} $ by using self-dual bases of $ \mathbb{F}_{q^{n}} $ over $ \mathbb{F}_{q} $ when $ q $ is even or both $ q $ and $ n $ are odd. Whereas for the case of odd $ q $ and even $ n $, whether LCD generalized Gabidulin codes of length $ n $ over $ \mathbb{F}_{q^{n}} $ exist or not is still open. In this paper, it is shown that one can always construct LCD generalized Gabidulin codes of length $ n $ over $ \mathbb{F}_{q^{n}} $ for the case of odd $ q $ and even $ n $.&lt;/p&gt;&lt;/abstract&gt;
An overview of the principle, algorithm improvement and application based on the theory of latent semantic indexing

Latent Semantic Indexing (LSI) is a latent structural model, aiming to quickly and accurately analyze a large number of texts through statistical calculation methods, and then extract the potential semantic connections between terms, while highlighting the key meanings in the text and weakening the bad influence of polysemy of the words.LSI can simplify the text vector and reduce the dimensionality, with high recall and retrieval speed.This article uses examples of spam filtering to introduce in detail the theoretical basis of latent semantic indexing, that is, singular value decomposition and the construction of multi-dimensional conceptual spaces.And the important link-weight calculation TF-IDF method uses "Sigmoid function" and "location factor" to optimize, which can further emphasize the importance of different words in the text, and is also more conducive to the construction of latent semantic structure space.Then, the paper briefly introduces two applications: research on job description clustering and construction of patent information classification system using LSI.In the end, we elaborated on the of two latent semantic indexes: retrieval and search, parallel examples: research on job description clustering and construction of patent information classification system, and gave a brief introduction.
Modelling an Efficient Three-Tier Fault Tolerance Approach for Resource Provisioning over Cloud

INTRODUCTION: Nowadays, the cloud computing paradigm encounters newer challenges in offering fault tolerance methods during service provisioning.The failures during service provisioning are unavoidable in the large-scale heterogeneous network.Therefore, the adoption of appropriate fault tolerance techniques can improve the provided service's efficiency and reliability.OBJECTIVES: Thus, fault tolerating metrics give better accuracy to enhance the QoS, where the three-tier fault-tolerance approach is proposed to resolve the various failures in service provisioning.METHODS: Initially, a Collector Model collects the request and ranks it based on the service to be provided.Secondly, the redundancy filter module is designed to filter out the request replication and avoid the unnecessary process to be carried out.Finally, the fairness resource allocation module is designed to perform the prominent request received from the users based on the available resources without service congestion.RESULTS: This three-tier model operates concurrently to handle the multiple requests from the users of various connected nodes.The experimental analysis demonstrates that the three-tier fault tolerance model can enhance the cloud reliability over the large-scale heterogeneous network by ensuring QoS.CONCLUSION: The well-realized fault tolerance approach can efficiently demonstrate the structural model and fault tolerance process over the computing environment, therefore enhancing the cloud extendibility.Moreover, the computing environment's failure is hugely complex, and failure has to be handled efficiently.
SISTEM PAKAR BERBASIS WEB MENENTUKAN BIBIT DURIAN BERKUALITAS DI TANGGAMUS

Agriculture is one of the important sectors in Indonesia and one of them is the durian farmers. But often the community particularly the province of Lampung Regency Tanggamus Communities often have difficulty in determining what quality durian seeds to in farming. From some descriptions the problem, then made a Web-based Expert system for Determining Seed Quality Durian In Tanggamus that will assist users in determining the quality of seeds they will use. This research uses the MySQL as easy PhP application media maker application expert system. The form of implementation of research results in the form of websites that provide recommendations to determine in the selection of high-quality durian seeds needed by farmers.
How to Evaluate and Improve E-Commerce Implementation and Administration Success State? a New Approach for Managing Success-Relevant Activities

Achieving e-commerce success is influenced by a variety of interrelated activities. Identifying, analyzing and prioritizing these activities enable decision-makers firstly to evaluate the current success state of Electronic Commerce (EC) businesses more accurately and then to develop an efficient improvement plan to allocate limited resources to achieve a higher level of success. In this research, a Fuzzy Cognitive Maps- analytical hierarchy process (FCM-AHP) approach is used to address this issue by: (1) determining interrelationships between influential activities, (2) determining how much these activities influence each other and the overall success, and (3) prioritizing activities to develop a sound improvement plan. In this approach, the FCM technique is used to indicate all possible causal interrelationships between activities and consider all feedback loops between them. Then, the AHP ( analytic hierarchy process) technique is used to determine the contribution weights of activities to the overall success. The obtained management matrices that make it possible to categorize influential activities and the results of improvement scenarios help the decision-makers to develop the most efficient improvement plan and gain the maximum benefit from the allocation of limited resources. An empirical study is implemented to serve as an example to indicate how the approach works .
Framework and Techniques for Managing Technical Debt in Software Development Lifecycle

Purpose: Technical Debt and the subsequent problems are discussed often in industry andscientic journals. In this paper, we introduce a framework for managing technical Debt. Thesolution consists of methods to manage and repay technical debt. The goal of the frameworkis to provide a better overview of the Technical Debt items for the IT Development teamand SMEs. Technical Debt calculation is the cost of fixing structural quality issues in anapplication that, if left unfixed, puts the business at critical risk. Technical Debt typicallyincludes issues that are highly likely to cause severe business disruption; and may notinclude all problems, just the most critically serious ones.Technical Debt describe problemsthat ariseduring development when workarounds aremade due to tight project deadlines ortechnical improvements are neglected over a longer time. In atechnical metaphor to financialdebt, the workaroundis interpreted as the debt and the resulting problemsas interest rates.Additionally, the paper also catagorizes Technical Debtand provides a view on the metricsand tools
The GKK Algorithm is the Fastest over Simple Mean-Payoff Games

We study the algorithm of Gurvich, Karzanov and Khachyian (GKK algorithm) when it is ran over mean-payoff games with no simple cycle of weight zero. We propose a new symmetric analysis, lowering the $$O(n^2N)$$ upper-bound of Pisaruk on the number of iterations down to $$N + E^+ + E^- \le nN$$ , where n is the number of vertices, N is the largest absolute value of a weight, and $$E^+$$ and $$E^-$$ are respectively the largest finite energy and dual-energy values of the game. Since each iteration is computed in O(m), this improves on the state of the art pseudopolynomial O(mnN) runtime bound of Brim, Chaloupka, Doyen, Gentilini and Raskin, by taking into account the structure of the game graph. We complement our result by showing that the analysis of Dorfman, Kaplan and Zwick also applies to the GKK algorithm, which is thus also subject to the state of the art combinatorial runtime bound of $$O(m2^{n/2})$$ .
Audience perception in experiential embodied music theatre: a practice-based case study

A common feature of contemporary music theatre is that it is situated across various disciplinary boundaries, often leading to a complex layering of music with other artistic forms, such as theatre, text, film, and movement (Bonshek 2006; Rebstock & Roesner 2013; Lehmann 2006). In some cases, such interdisciplinarity has led creators to explore spaces beyond traditional theatrical settings, such that performance location becomes an important and intrinsic feature of a work’s multimodal fabric. A recent example of such work—I Only Know I Am (2019), composed by the authors—provides a case study here in which ideas of experientialism are explored with reference to a variety of extant approaches to theatre and music theatre. The authors propose understanding this work as ‘experiential embodied music theatre’, synthesising aspects of a variety of theatrical modes.First, we consider the work’s use of space, place and history in the context of environmental and site-specific theatre in order to understand the means by which it attempts to engage the audience. Taking this idea further, we consider the sonic place that is generated through the architecture of the work’s form, supported by the narrative structure and ideas of silencing and stasis. From here, we consider the genre of immersive theatre, and draw a connection between this theatre practice, embodiment in music theatre, and embodied music cognition, so that we can understand the ways in which audience members may embody the music whilst maintaining a traditional audience-performer relationship. This journey from compositional conception, to context and examples, and through to audience perception outlines a reading of this work as experiential embodied music theatre from a variety of perspectives.
Programmable Logic Controller Use for Predicting of the Medical Symptoms among Patients

The previously developed computer programs, the manager of medical processes Medical and Medical Commander Prognosis, allowed the real-time prediction of medical symptoms in clinical practice, using two principles of interpolation: minimizing of the difference between known and interpolated numerical values; the choice as an argument of the maximum number of statistical frequencies of the observed patients in the predetermined intervals. Based on these principles, a new device was designed, which is a mobile programmable logic controller (PLC) loaded with the block of data input of program of the medical process manager Medical and the program of  Medical Commander Prognosis allowing to predict any medical symptom or set of medical symptoms in real time. The device is a compact programmable logic controller that includes a built-in console (input-output device), a data input unit for a programmable logic controller, a unit for outputting the results to the monitor screen and the monitor itself.
STANDARTS OF ARTISTIC CULTURE IN HIGHER EDUCATION: PRACTICE OF DEVELOPING VISUAL THINKING

The aim of the article is to study the educational potential of works of fine arts in the development of visual thinking and the formation of worldview of university students. The research reveals the methods of mastering the educational capacities of works of art in the higher education system. The article describes the results of a multi-stage experiment conducted at the Siberian Federal University aimed at studying the influence of communication with works of art on the formation of students’ worldview. In the description of the experiment the authors demonstrate various aspects of the correlation between the visual thinking activity of students and their skills of worldview modeling. The study determines the practical significance of the research results in the field of education management.
PENGENALAN MEKANISME TRANSAKSI SAHAM UNTUK PENINGKATAN PEMAHAMAN INVESTASI SISWA MAN 1 JOMBANG

The purpose of this community service is to increase students' understanding of the mechanism of stocktransactions. The investment world is one of the fields that has experienced various adjustments to theimpact of technological advances, especially stock investment. Currently, stock transactions are scriplessor all digital. Of course, that way it will be easier to become a stock investor. This convenience hasbecome a very interesting thing for college students to pay attention to the investment world, especiallystocks. So that currently the education in schools is more massive because investment can actually bestarted early. The participants of this activity consisted of 15 students where this activity was carried outin two sessions, starting with an introduction to stock investment then continued with an explanation ofthe stock transaction mechanism and question and answer session which the participants were veryenthusiastic about. The result of this community service is as an opening to the understanding of investingin stocks for students.
The effect of socio-cultural challenges of teaching English for young learners in remote areas of Banten

Teaching English as Foreign Language is challenging. As we know, learning are determined by the social, economic, political, historical and cultural dimensions of its context. The objective of this research is to find out the socio-cultural challenges of teaching English as foreign language (TEFL) in remote area. This research was conducted in Banten and used qualitative research for collecting the data. The data also collected from five English lecturers in universities of Banten. Banten especially Serang is one of the areas of Banten which has a problem in teaching in remote area. The participants were selected using purposive sampling technique, where the data collected using interview and field observation then analyzed descriptively. Several challenges of teaching and learning English arise due to socio-cultural aspects, but also because of the economic situation of the community, public beliefs about teaching English, and also the curriculum that is not in accordance with current social conditions. The results of the study stated that the participants should be deal with several obstacles in teaching English. Besides, creating positive understanding and paradigm about the sanctity of learning English for students might be able to help the students for study English better.
The Dynamics of Deforming Manifold: A Mathematical Model

In order to meet the requirements of practical applications, a model of deforming manifold in the embedded space is proposed. The deforming vector and deforming field are presented to precisely describe the deforming process, which have clear physical meanings. The proposed model is a modification of the general differential dynamic model, with constraints of spatial and temporal continuity on the deforming field. The deformation integral and derivative are presented as compact expressions of manifold deforming process. Moreover, a specific autonomous deforming field with flattening effect is defined, which provides a novel geometric viewpoint on data dimension reduction. The effectiveness of this autonomous deforming field is proved by numerical computation simulations, which indicate the promising potential of the proposed model in practical dimension reduction tasks.
THE USE OF FORMAL INSTRUCTION TO IMPROVE STUDENTS’ UNDERSTANDING OF SINGULAR-PLURAL ON GRAMMAR ASPECT IN SPEAKING SKILL

English and Bahasa Indonesia had some differences dealing with the number of the objects. In English, using‘s’ or ‘es’ in the end of the word was used to differentiate if the noun was a singular or plural form. Moreover, some of EFL Indonesian learners in junior high school had some problems, especially in the speaking activity. Therefore, the researchers used formal instruction to solve this problem. The researchers also wanted to investigate whether this formal instruction could improve students’ understanding, and how was their understanding of singular-plural on grammar aspect in speaking skill. This research used quantitative research which contained pre-experimental design, and 33 students of the eleventh grade in SMP PUI Gegesik Cirebon were used as the subject of the research. In collecting the data, the researchers used oral test which divided into two groups, in order to get the differences of students score of pre-test and post-test. After getting the data, it was analyzed by using the T-Test and SPSS applications. The result showed that the lower value was negative (-58.007) and the upper was also negative (-44.417) which meant that formal instruction could improve the students’ understanding of singular-plural form on grammar aspect in speaking skill. In the teaching-learning process, the students got some explanations, material, some drills and practicees from the teachers which meant as the process of how they could improve their understanding of the singular-plural materials
MODELISASI KURSI DENGAN PENGGABUNGAN HASIL DEFORMASI BENDA-BENDA RUANG MENGGUNAKAN KURVA BEZIER

Chairs are needed by humans to do some work, especially students and office workers. The parts contained in the chair are the chair legs, chair legs eats and chair backs. The purpose of this study is to obtain variations in the shape of office chairs using Bezier curves and incorporate the results of deformation of space geometric objects. In modeling this chair, it is divided into several stages, namely first, building the chair leg components. This chair leg component consists of chair wheels, connecting two wheels with tube deformation, modeling the chair leg branch components and modeling chair leg supports. Second, namely the model of the chair leg seat. Chair leg seat consists of regular hexagon prism deformation and regular quadrangle prism deformation. The third is the modelization of the back of the chair by using a rectangular prism model. The result of combining several components of the chair using one modeling axis produces 36 chair models, with special provisions, namely that the seat support parts can only be joined using a tube.
Machine Learned Metamodeling of a Computationally Intensive Accident Simulation Code

Abstract The nuclear power industry is increasingly identifying applications of machine learning to reduce design, engineering, manufacturing, and operational costs. In some cases, applications have been deployed and are realizing value, in particular in the higher volume and data rich manufacturing areas of the nuclear industry. In this paper, we use machine learning to develop metamodel approximations of a computationally intense safety analysis code used to simulate a postulated loss-of-coolant accident (LOCA). The benefit of an accurate metamodel is that it runs at a fraction of the computational cost (milliseconds) compared to the LOCA analysis code. Metamodels can therefore support applications requiring a high volume of runs, for example optimization, uncertainty analysis, and probabilistic decision analysis, which would otherwise not be possible using the computationally intense code. We first generate training data by running the safety analysis code over a design of experiment. We then perform exploratory data analysis and an initial fitting of several model forms, including neighbor-based models, tree-based models, support vector machines, and artificial neural networks. We select neural network as the most promising candidate and perform hyperparameter optimization using a genetic algorithm. We discuss the resulting model, its potential applications, and areas for further research.
Perancangan Aplikasi Diagnosa Tromboflebitis Dengan Algoritma Sequential Minimal Optimization

Expert system (Expert System) is a branch of artificial intelligence (Artificial Intelligence) that seeks to adopt human knowledge into computers designed to model problem-solving abilities like an expert. Expert systems act like experts in their fields containing facts and heuristics to solve certain problems. Expert systems are based on knowledge systems, allowing computers to draw conclusions from a set of existing rules. Maintaining health is an obligation that is often forgotten by humans so that disease grows in the human body. Thrombophlebitis is inflammation or swelling of the veins (veins) caused by blood clots that occur in the veins. Inflammation generally occurs in veins in the legs, although it does not rule out the veins of the hands or neck. To find reliable information on the diagnosis of thrombophlebitis requires an expert who is proficient in the field of thrombophlebitis diagnosis, but due to the limited working hours of an expert, thrombophlebitis diagnosis becomes a problem that prevents sufferers from obtaining information on thrombophlebitis diagnoses quickly and accurately. To solve these problems. To diagnose thrombophlebitis, it can be done using the SMO algorithm. The process is carried out by SMO to speed up the training process in diagnosing thrombophlebitis.