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Keyword: REAnalysis of Reading Time and the Number of Characters within One Gazing Point
Concomitant with the ubiquity of lightweight electronic terminals, such as smartphones and tablets, e-books have increased in popularity. However, studies have shown that their display method and information-presentation efficiency need improvement. We investigated visual information processing during reading to develop a more efficient display method that presents information in an easier to see fashion than…
Read MoreAssociated Risk Factors for the Development of Extensively Resistant Pulmonary Tuberculosis in the First Level of Health Care: From a Public Health Perspective
To determine the risk factors associated with the development of extensively resistant pulmonary tuberculosis in the DIRIS Lima Sur, 2017. The type of research was observational, quantitative, analytical, retrospective case-control approach. The population consisted of 158 patients with MDR-TB treatment schedule between 2016 and 2017. The sample consisted of 24 cases diagnosed with extensively drug-resistant…
Read MoreControl and Monitoring Systems in Medium Voltage Distribution Networks in Poland – Current Status and Directions of Development
The paper describes the control and monitoring systems installed in medium voltage networks by Polish distribution network operators. It also outlines the expected directions of development of these systems, specifies the functions of the individual system components and describes the requirements applicable to them. In particular, attention is paid to the implementation of functions to…
Read MoreImproving of Heat Spreading in a SiC Propulsion Inverter using Graphene Assembled Films
The focus of this work is first to establish the effect of the chip temperature and thermal feedback on the determination of the power loss in a three-phase propulsion inverter, then to demonstrate the possibility of achieving an improved heat spreading through the different layers inside a SiC power module by using graphene assembled films…
Read MoreDiscretisation of Second Order Generalized Integrator to Design the Control Algorithm of Unified Power Quality Conditioner
In this paper, second order generalized integrator (SOGI) is discretized to design the control algorithm of unified power quality conditioner (UPQC). A UPQC is combination two voltage source converter (VSC) and VSC are connected with back to back DC link. The first one VSC is in series to maintain the desire voltage at point of…
Read MoreInnovations in Recruitment—Social Media
The main objective and contribution of the paper is to describe the creation of a model to support recruitment using social media information and its deployment in practice. The model includes the design of an automated solution for downloading social media data and a proposal for the subsequent analysis and creation of a predictive model…
Read MoreThe Influence of Online Learning on Learning Interest and Motivation and Their Impact on Student Achievement at Educational Technology Study Program – Ibn Khaldun University Bogor
The aim of this research was to prove the effect of online learning on interest and motivation to learn and its effect on student achievement in the Educational Technology Study Program – Ibnu Khaldun University, Bogor. This research method uses descriptive analysis and verification with a quantitative approach. The source of this research uses primary…
Read MoreHiragana and Katakana Minutiae based Recognition System
The Japanese writing system is unique due to the number of characters employed and the methods used to write words. It consists of three different ’alphabets’, which may result in the methods used to process Latin script not being sufficient to obtain satisfactory results when attempting to apply them to a recognition of the Japanese…
Read MoreAntecedents to Learners’ Satisfaction with Serious Games: An Investigation Using Partial Least Square
Serious games are at the forefront of discussions about the future of learning. Research shows that they can help improve student motivation and knowledge transfer by making learning experiences more pleasurable. Teaching practices are increasingly enhanced or complemented by serious games; skills and knowledge are developed by recreating realistic situations allowing learners to enhance their…
Read MoreLean Six Sigma Implementation in the Food Sector: Nexus between Readiness-Critical Success Factors
Lean Six Sigma (LSS) is a renowned approach for boosting operational excellence and competitive advantage through integrated core objectives of value creation and variation reduction. Despite its proven benefits in many leading companies, LSS implementation in the food sector is still behind compared with other sectors. LSS implementation is costly, and most businesses have failed…
Read MoreBuilding Health Monitoring using Visualization of Sound Features Based on Sound Localization
This paper describes what can be accomplished by understanding sound environments. Understanding sound environments is achieved by extracting the features of the sound and visualizing the features. The visualization is realized by converting the three features, namely, loudness, continuity, and pitch, into RGB values and expressing the sound with color, where the color is painted…
Read MoreProblems of Increasing the Intelligence of Algorithms for Optimal Distribution of the Current Load on the Combined Heat and Power Plant and Ways to Solve Them
The problem of optimal distribution of the current load of a combined heat and power plant with a complex composition of equipment is considered. A multi-criteria approach is proposed for parts of graphs with a constant load in time, considering the factors of economy, reliability and ecology. For sections of the graph with a time-variable…
Read MoreImpact Assessment of the Renewable Energy Sources Implementation in Bulgarian Single-Family Houses on the Greenhouse Gas by HOMER Pro Software
It is widely known that cities now house more than half of the world’s population. Within this framework, this study presents the possibilities for real-world application of renewable energy sources (RES) in urban areas, as well as their contribution to the urban deployment of the new energy paradigm. A comparison is made between hybrid power…
Read MoreThe Effect of Obstacle Design Architectures on Randomly Ranging AGVs in a Shared Workspace
As mobile robots or Automated Guided Vehicles age, and their navigation components wear down, downtime may increase, and therefore robots may lose their path planning capabilities. In such blind-navigation scenarios, we assume robot(s) is programmed to undergo a default random-walk locomotion in a two-dimensional confined workspace with spatially populated obstacles. The robot(s) has only one…
Read MoreEnhancing Decision Trees for Data Stream Mining
Data stream gained obvious attention by research for years. Mining this type of data generates special challenges because of their unusual nature. Data streams flows are continuous, infinite and with unbounded size. Because of its accuracy, decision tree is one of the most common methods in classifying data streams. The aim of classification is to…
Read MoreTETRA™ Techniques to Assess and Manage the Software Technical Debt
The paper examines the company’s proprietary means for determining the quality of a software product and measuring its technical debt. The paper’s authors explain how a software product’s quality is directly correlated with the amount of varying technical debts that the end-users receive. All debts can be paid, and technical debt is no exception: one…
Read MoreReading Acquisition Software for Portuguese: Preliminary Results
The persistent difficulties in reading and spelling acquisition are a risk factor for learning motivation. Play-like intervention tools have been developed to face these difficulties. “I read” is a software that seeks to develop and introduce systematic reading and spelling skills training in a playful and complementary way. This software is intended for children at…
Read MoreEnsemble Learning of Deep URL Features based on Convolutional Neural Network for Phishing Attack Detection
The deep learning-based URL classification approach using massive observations has been verified especially in the field of phishing attack detection. Various improvements have been achieved through the modeling of character and word sequence of URL based on convolutional and recurrent neural networks, and it has been proven that an ensemble approach of each model has…
Read MoreLow-Power Primary Cell with Water-Based Electrolyte for Powering of Wireless Sensors
In this work we discuss a special technique for powering of sensor systems, based on a low-power primary cell consisting of two electrodes, made from different metals, with water (lake, rain or tap water) used as an electrolyte. Once placed into an aqueous solution, the primary cell generates a small electric current, which may be…
Read MoreVoIP Codec Performance Evaluation on GRE with IPsec over IPv4 and IPv6
Scientists succeeded in implementing conventional public switch telephone network (PSTN) into internet protocol by launching H.323 IP telephony. The irrelevant and unknown captions in H.323, computer scientists have replaced H.323 by Session Initiation Protocol (SIP) for Voice-over-IP (VoIP). However, the security of voice communication over IP is still a major concern. Besides, security and performance…
Read MoreDesign Optimization and Life Cycle Cost Assessment of GRC Shading Screens for Office Buildings in Cairo
Office buildings commonly use fully glazed façades to reflect a luxurious appearance and to maximize natural light of high solar exposure and high-energy consumption due to cooling and heating. There is a great abundance in constructing shading screens as they are part of the modern movement in field of Energy Conservation, renewable energies, and architectural…
Read MoreExtraction of Psychological Symptoms and Instantaneous Respiratory Frequency as Indicators of Internet Addiction Using Rule-Based Machine Learning
Internet addiction (IA) has adverse effects on psychophysiological responses, interpersonal relationships, and academic and occupational performance. IA detection has received increasing attention. Although questionnaires enable long-term assessment (over 6 months) and physiological measurements to aid the short-term evaluation (over 2 min) of IA, the lack of algorithms results in an inability to detect IA in…
Read MoreiDRP Framework: An Intelligent Malware Exploration Framework for Big Data and Internet of Things (IoT) Ecosystem
The Internet of Things (IoT) is at a face paced growth in the advanced Industrial Revolution (IR) 4.0 in the modern digital world. Considering the current network security challenges and sophistication of attacks in the heavily computerized and interconnected systems, such as an IoT ecosystem, the need for an innovative, robust, intelligent and adaptive malware…
Read MoreAcoustic Scene Classifier Based on Gaussian Mixture Model in the Concept Drift Situation
The data distribution used in model training is assumed to be similar with that when the model is applied. However, in some applications, data distributions may change over time. This situation is called the concept drift, which might decrease the model performance because the model is trained and evaluated in different distributions. To solve this…
Read MoreNumeric Simulation on the Waves from Artificial Anti-gravity upon General Theory of Relativity
This paper reports the algorithm, the input data and the result of the numeric simulation on the flows of the waves emitted from a rotating object that forms the artificial anti-gravity. First, an object with a heavy mass is placed in the 4-dimensional time and space, which is described by a fundamental tensor. Then the…
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