Reviewerly/exHarmony huggingface dataset:
Feature extraction using nonparametric margin discriminant analysis

High dimensional data often lies in a low dimension structure and is often recommended to perform dimensionality reduction before the tasks of classification or clustering. In this paper, we propose a new method called nonparametric margin discriminant analysis based on the trace ratio criterion (TRNMDA) to extract discriminant vectors from original high dimensional space. TRNMDA does not have the assumption on data distribution that overcomes the limitation of LDA, which can not perform well in non-gaussian data. Compared with other nonparametric methods like nonparametric maximum margin criterion (NMMC), TRNMDA takes full advantage of marginal information, which is essential for classification. Experiments conducted on three standard face data sets have validated that our proposed method is more effective than several state-of-the-art methods.
Tri-Section Method for Solving Fuzzy Non-Linear Equations

Since many real world root-finding problems are too complicated to be defined in precise terms, uncertainty is often needed.So, the variables or parameters may be expressed in terms of fuzzy numbers initially introduced by Zadeh [1].There are many methods for solving fuzzy non-linear equations.Most of those methods are based on well-known methods of crisp non-linear equations, such as Newton's method [2], fixed point iteration [3], harmonic mean method [4], Broyden's and Newton's methods [5].In 2013, Saha and Shirin [6] proposed an iterative method of fuzzy non-linear equation using the classical bi-section method over linear fuzzy real numbers.Performance of their method is good and the method is conceptually clear, however, it is relatively slow to converge [7].In this paper, we provide an algorithm to improve the convergence using tri-section. PRELIMINARIESIn this section, we provide some definitions of linear fuzzy real numbers [8] used in this research.Definition 2.1 [8] (Linear fuzzy real number) Let be the set of all real numbers.For some real numbers , , , let : → [0, 1] be a function defined by () = { 0, < > , - - , ≤ < , 1, = , - - , < ≤ .Then a notation (, , ) is called a linear fuzzy real number with associated triple of real numbers (, , ), where ≤ ≤ , shown in Figure 1.Let be the set of all linear fuzzy real numbers.Since any real numbers ∈ can be written as a linear fuzzy real number () ∈ , where () = (, , ), we can see ⊆ .Fruthermore, the -valued interval [(), ()] can be considered as the real-valued interval [, ].Thus, a fuzzy interval [ 1 , 2 ] over is the extension of an interval over .Figure1.Linear fuzzy real number (, , )
Основные теоретико-методологические подходы к изучению понятий «ценности» и «ценностные ориентации»

In this article there is theoretical analysis and systematization of the concepts of “value” and “value orientation.” It is noted here that the problem of studying the main determinants and the correlation of these concepts for a long time has been the subject of scientific interest of a number of humanitarian disciplines. Nowadays value problems have not lost their relevance, and, what is more, in the context of a changing social reality, it has strengthened its position. As a result it led not only to the need for a deeper understanding of the theoretical foundations of the study of values and value orientations, but also to the search for new methods to study their most important aspects.This article presents several concepts of studying values and value orientations proposed by the leading figures of psychological science - D.А. Leontyev, N.R. Salikhova, A.S. Burelomova, S.L. Rubinstein, B.S. Bratus, L. Lengle, M. Rokich, J. Mussek, Sh. Schwartz. In the concepts they propose the psychological nature of values is explored through the concept of “value orientations of the individual,” which represent systemic education  and  are  a  kind  of  projection  into  reality,  connected not only with values as ideals, but also with a whole range of external and internal conditions. They have a multifaceted structure, which includes such components as social, economic, political, cultural, moral and behavioral aspects. Thus, when a person accepts values that exist in a culture, then they become his personal values. Consequently, value orientations, in turn, express a subjective attitude to one or another value, that is, they reflect the orientation of the individual towards one or another goal.
A New Approach to Handling Erroneous Reviews in Opinion Mining

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.
APLIKASI ON-DEMAND SERVICE PEDAGANG KELILING BERBASIS ANDROID

The problem experienced by traveling salesman is not knowing the position of the buyer. When traveling salesman move, the place is sometimes quiet with buyers. In recent years, on-demand mobile service applications have begun to develop. To overcome the problems faced by traveling salesman, in this study a mobile on-demand service system was created. There are several concepts of on-demand service that must be implemented in the system, namely the system must be able to fulfill user requests quickly, the system must sell products that are clear and controlled, the system must be able to connect customers with service providers, requests must be collected using the application and served offline , and service providers can decide when to work. Based on the results of usability analysts using use questionnaires, most of the correspondents have a positive response that this application is a useful application. Then for the convenience of using the application, all respondents answered with a positive response. For the technology used there are several differences between the technologies applied by on-demand mobile traveling salesman and other on-demand service systems. For the server section, the on-demand service for mobile merchants still uses monolith architecture while Go-Food uses the microservice architecture. To process data in realtime, the traveling salesman system uses Firebase Cloud Firestore technology, while for Go-Food uses data stream technology and uses the Kafka platform. For map technology, both systems use the Google Maps API. For mobile technology, the GO-FOOD application uses the RxJava library.Keywords: traveling salesman, On Demand Mobile Service, use questionnare
INVITED: In Hardware We Trust : Gains and Pains of Hardware-assisted Security

Data processing and communication in almost all electronic systems are based on Central Processing Units (CPUs). In order to guarantee confidentiality and integrity of the software running on a CPU, hardware-assisted security architectures are used. However, both the threat model and the non-functional platform requirements, i.e. performance and energy budget, differ when we go from high-end desktop computers and servers to low-end embedded devices that populate the internet of things (IoT). For high-end platforms, a relatively large energy budget is available to protect software against attacks. However, measures to optimize performance give rise to microarchitectural side-channel attacks. IoT devices, in contrast, are constrained in terms of energy consumption and do not incorporate the performance enhancements found in high-end CPUs. Hence, they are less likely to be susceptible to microarchitectural attacks, but give rise to physical attacks, exploiting, e.g., leakage in power consumption or through fault injection. Whereas previous work mostly concentrates on a specific architecture, this paper covers the whole spectrum of computing systems, comparing the corresponding hardware architectures, and most relevant threats.
Renovation of 3D Medical Image from Pentagonal Shaped Transections

This paper presents Three-Dimensional Renovation of medical image using fundamental Direct Reformation technique by segmented pentagonal shaped transections. Proposed method describes renovation of three-dimensional model. The method explains concurrent pixel arrangement of the pentagonal transections. The topology of the method describes the relation between the two dimensional pentagonal transections to three-dimensional model in the form of conversion of transections into model representation. The paper also explains the insertion of transections using model based method. The insertion of transections preserve the shape of the original model transections, when the transections have similar shapes. It can also modify the shape of the model when the successive transections do not have similar shapes. The obtained experimental results also demonstrate the concept of image segmentation, image registration, and renovation of three-dimensional images. The results of the method are presented in openGL.
A Content Analysis of Hotel Websites in Jordan

This study is being carried out to analyze websites of forty five, five star hotels from Jordan located at three tourism destination (Dead Sea, Petra and Aqaba) using methodology of content analysis. The study analyseshow five start hotels are using their hotel websites to promote their products and services being offered in this tourist destinations by taking into consideration, fifty varied attributes such as customer relationship, Sales & marketing, hotel identity, modes of communication, transaction and information. Diverse features is an important element of any five star website of a hotel chain and the success or failure may depend on these attributes which are being featured. In the past when hoteliers had no access to internet, it was really a tedious job to promote hotels; but now with advent of Internet, hoteliers are able to manage wider aspects of a hotel. The outcomes of this researchindicates that the branded international hotel chains and standalone hotel chains in Jordan are currently not utilizing their websites in an efficient manner to promote their products and services. The analysis indicates that Jordanian hotel managers should make good use of their hotel websites and make it more effective and attractive, as well as hotelier should pay more and more attention on the attributes which helps the development of hotel websites.
Automatic Generation of a Type-2 Fuzzy System for Time Series Forecast based on Genetic Programming

This work describes the development of a type 2 Fuzzy Inference System by using Genetic Programming for applications in time series forecasting.The resulting model, called GPFIS-Forecast+, is based on the GPFIS-Forecast created previously, which made use of Multigene Genetic Programming an provided good results.Results show that the system with type 2 fuzzy sets improves the performance, especially for noisy data.
A Dynamic Framework for Healthcare Monitoring using Wireless Sensor 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.
Application of the Continuous-Discrete Kalman Filter to State Estimation of the Convection Pass of a Once-Through Power Boiler

This paper presents an application of the continuous-discrete Kalman filter to the dynamics of a section of the convection pass of a once-through power boiler. The approach uses a high fidelity model of the plant's thermal and fluid mechanics in Flownex® to generate simulated plant measurement data. A simpler, lumped parameter model is developed in Matlab® (independent from this simulation) around which the state estimator is built. Based on measurements available at the system boundary, the estimator allows insight into the internal states of the physical system from which the presence of fouling can be detected. Furthermore, correct modelling of state-and measurement-noise, critical to the set-up of a Kalman filter, is shown.
Modeling Implicit Feedback and Latent Visual Features for Machine-Learning Based Recommendation

To leverage the rapid accumulation of rich media on the Internet, this paper proposes a Multi-View Bayesian Personalized Ranking (MVBPR) recommendation model, which combines visual and textual content, along with uncertainty modeling of consumer preference in form of implicit feedback and visual representation in form of latent factors.MVBPR is a machine-leaning framework integral of deep-learning (i.e., SCAE) and topic modeling (i.e., LDA) strategies to fuse image and text information.Moreover, extensive experiments demonstrate MVBPR's advantages over baseline models, including its superiority in dealing with the cold start situation.
Preliminary guidelines for the efficient management of OOV words for spoken text

We investigate the practical short-term and long-term effects of five different frequency ranks used for selecting which out-ofvocabulary (OOV) words to add to a pronunciation lexicon for text-to-s ...
A chaotic iterative fuzzy modeling of circulating a simple sentence

In this paper, we propose a new model to describe variations in interpretation and perception of a simple sentence by different people. To show the understandability of a simple sentence in the prediction of future situations, the meaning of a sentence is modeled as a fuzzy if-then rule, and the fuzzy model is investigated in an iterative process. The main goal of the paper is modeling a linguistic rule. This is done using an if-then rule and its variation through one person to another. The model predicts that the interpretation reaching the final person in the following years can be chaotic and thus unpredictable.
Piecewise Linear Transformation Function Using Histogram Processing for Image Enhancement

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.
ESTUDIO PRELIMINAR DE TENDENCIA SOBRE MINERALES PLATINOIDES

The work is a preliminary study to come closer to the topic of mineral platinoides, the term of the platinum group” (MPG) it designates the six platinoides like rutenio, rhodium, paladio, osmio, iridium and platinum. These metals are often together in proportions variables, and the platinum usually prevails, it is objective of this work to show the tendency as for the treatment and obtaining of the noble metals of the group platinoides, specifically the platinum obtaining. The analysis left of a study gathered in the information of patents demonstrating several procedures and different sources so they exist to extract the Pt fundamentally, as the obtaining of the metal of electronic scraps, of cromita minerals, in smaller grade of minerals of pleasures, the biggest tendency is to the employment of this metal in the production of catalysts.
Interpreting the Objective Outcome of the Proposed Misuse Case Oriented Quality Requirements (MCOQR) Framework Metrics for Security Quantification

A number of tools, techniques, methods, methodology, and standards are available to quantify the security aspect of software during its development and after it has been implemented. But the interpretation and analysis of the quantified security metrics thus obtained may be difficult for the software development team. Proper and comprehensive interpretation and analysis of quantified security metrics are essential to specify correct security requirements during the requirements engineering phase of SDLC which may result in more secured software. This research work shows how the proposed Misuse Case Oriented Quality Requirements (MCOQR) framework metrics may be used to provide identification, definition, interpretation, and analysis of security metrics during the requirements engineering phase of software development process. The authors also discuss the various primary outcomes that may be obtained using the proposed MCOQR framework metrics using the industry accepted standards like Common Vulnerability Scoring System (CVSS), Common Vulnerability Enumeration (CVE), and Common Weakness Enumeration (CWE). The work proposed is an extension of Misuse Case Oriented Quality Requirements (MCOQR) framework metrics and includes software application-specific database. The study also highlights the areas where future research work can be carried out to further strengthen the entire software system during the software development process.
Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes

We develop an algorithm for learning physicians' prescription policies and the disease progression dynamics from Electronic Health Record (EHR) data. The prescription protocol used by physicians is viewed as a control policy which is a function of an underlying disease state in a Markov Decision Process (MDP) framework. We assume that the transition probabilities and the policy of the MDP are parameterized using some known features, such that only a small portion of them are informative. Two ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -regularized maximum likelihood estimation problems are formulated to learn the transition probabilities and the policy, respectively. A bound is established on the difference between the average reward of the estimated policy under the estimated transition dynamics and the original (unknown) policy under the true transition dynamics. Our result suggests that by using only a relatively small number of training samples, the estimate can achieve a low regret. We validate our theoretical results on a test MDP motivated by a disease treatment identification application.
CML-IOT 2019

Internet of Things (IoT) provides streaming, large-amount, and multimodal sensing data over time. The statistical properties of these data are always characterized very differently by time and sensing modalities, which are hardly captured by conventional learning methods. Continual and multimodal learning allows integrating, adapting, and generalizing the knowledge learned from previous experiential data collected with heterogeneity to new situations. Therefore, continual and multimodal learning is an important step to improve the estimation, utilization, and security for the real-world data from IoT devices. A few major challenges to combine continual learning and multimodal learning with real-world data include 1) how to accurately match, fuse, and transfer knowledge between the multimodal data from the fast-changing dynamic physical environment, 2) how to learn accurately despite the missing, imbalanced or noisy data for continual learning under multimodal sensing scenarios, 3) how to effectively combine information collected in different sensing modalities to improve the understanding of CPS while retaining privacy and security, and 4) how to develop usable systems handling high volume streaming multimodal data on mobile devices.
Workshop: Information Search &amp; Discovery, Using an Image as Query

Aim/Purpose: This contribution is a tutorial workshop on searching and finding information by using an image as query. Also related topics are addressed. Participants learn about state-of-the-art applications and limitations of reverse image search on the internet and WWW. So they will be motivated and enabled to apply this relatively new method to discover information and to support other potential users. Methodology: This workshop is mainly a long lecture illustrated with practical examples. Interactions with the participants make the session more dynamic. Each participant can also execute practical tests, using a computer and internet.
The Effect of Cooperative Integrated Reading and Composition (CIRC) Learning Models Flash Media Assisted on Bahasa Learning Outcomes in Grade V Primary School

The Effect OfCoopertative Integrated ReadingAnd Composition (Circ) Learning Models Flash Media Assisted on Bahasa Learning Outcomes InGrade V Primary School.This research aims to see the effect of using Cooperative Integrated Reading and Composition (Circ) Learning Models Flash Media Assisted On Bahasa Learning Outcomes In Grade V State Primary School 101776 Sampali.The technique of hypothesis testing is done using t-Test.On the pretest data normality test with the provisions Lcount<Ltable=0,161 < 0,173in the control class, while the experimental class = 0.154 <0.173 so that it can be stated that the two groups of samples are normally distributed.In the normality test the postest data is known Lcount<Ltable=0,167 < 0,173 in the control class, while the experimental class = 0,150 < 0,173 so that the data is normally distributed.In testing the homogeneity of the pretest data is known by the provisions Fcount<Ftable=1,228 < 1,983, and the data homogeneity of postest = 1.178 < 1.983 so that it can be concluded that the two groups of data have the same variance.Then a t-test is performed with a significant level of 5% which shows that there is a significant influence on learning using the Coopertative Integrated Reading and Composition (Circ) Learning Models in Bahasa subject to poetry writing skills of students of Grade V State Primary School 101776