Experiment 3

Author(s):  
Azza A Abubaker ◽  
Joan Lu

Although experimental studies have shown a strong impact of text layout on the legibility of e- text, many digital texts appearing in eBook or the Internet use different designs, so that there is no straightforward answer in the literature over which one to follow when designing e- material. Therefore, in this chapter we shall focus on the text layout, particularly the influence of line length. This experiment is divided into two parts. The first part focuses on the factor of line length by studying its effect on reading speed and accuracy using various columns [one column and two columns] with each page having the same amount of information. The second part tests a new approach which basically assumes that by using different colours for the first and last word of each line, it will improve students' reading level. This hypothesis was based on pervious findings over the difficulty of being able to immediately locate the following line (Chan and Lee 2005). In addition, this approach was based on explanation of the eye movement which, in the reading process, does not scan a line but stops for about ¼ of a second before jumping to new place such as at the end of the line when the eye goes back to the beginning of the new line.

Author(s):  
Azza A Abubaker ◽  
Joan Lu

Selecting an optimal layout of academic text for display on screen was affected by several factors such as; type of material, subject or readers` age. In this study researcher assumed that each reading strategy requires a specific layout. Thus, the study starts with an understanding of the way that students interact with the text in both formats [electronic and paper]. Findings from this phase were linked with three common typography variables to provide standards for optimal design. In this chapter, the findings of this research are interpreted in the light of the theoretical perspective of the study by linking it with the objectives of the study already set out in chapter one. The first section is devoted to debating the outcomes related to the use of the Internet and eBooks by children at school and at home. This is identified as the first layer of the children's usability of online text, suggesting a further analysis of the children's experience of the e- text with a focus on the reading processes of the schoolbook in both versions [paper and online]. The third section is devoted to discussing the results related to readable Arabic font size and type. Section four is concerned with the findings from testing the effect of line length on reading speed and comprehension of Arabic text; whereas, the fifth section is devoted to debating the outcomes related to the new method for presenting Arabic texts.


2015 ◽  
Vol 43 (4) ◽  
pp. 533-555 ◽  
Author(s):  
Christina Cottiero ◽  
Katherine Kucharski ◽  
Evgenia Olimpieva ◽  
Robert W. Orttung

How effective is Russian state television in framing the conflict in Ukraine that began with the Euromaidan protests and what is its impact on Russian Internet users? We carried out a content analysis of Dmitrii Kiselev's “News of the Week” show, which allowed us to identify the two key frames he used to explain the conflict – World War II-era fascism and anti-Americanism. Since Kiselev often reduces these frames to buzzwords, we were able to track the impact of these words on Internet users by examining search query histories on Yandex and Google and by developing quantitative data to complement our qualitative analysis. Our findings show that much of what state media produces is not effective, but that the “fascist” and anti-American frames have had lasting impacts on Russian Internet users. We argue that it does not make sense to speak of competition between a “television party” and an “Internet party” in Russia since state television has a strong impact in setting the agenda for the Internet and society as a whole. Ultimately, the relationship between television and the Internet in Russia is a continual loop, with each affecting the other.


Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1749
Author(s):  
Elzbieta Szychta ◽  
Leszek Szychta

Energy efficiency of systems of water pumping is a complex problem since efficiency of two distinct interacting systems needs to be combined: water and power supply. This paper introduces a non-intrusive method of calculating the so-called “collective losses” of a cage induction motor. The term “collective losses”, which the authors define, allows for accurate estimation of motor efficiency. Control system of a pump determines operating point of a pumping station, and thus its efficiency. General estimated performance characteristics of a motor, components of a control system, are assumed to serve selection of a range of pumping speed variations. Rotational speed has a direct effect on motor load torque, pump power and head, and thus on motor performance. Hellwig’s statistical method was used to specify characteristics of estimated collective losses on the basis of experimental studies of 21 motors rated at up to 2.2 kW. The results of simulations and experiments are used to verify validity and efficiency of the suggested method. The method is non-intrusive, simple to use, and requires minimum data.


2014 ◽  
Vol 7 (2) ◽  
pp. 195-203 ◽  
Author(s):  
Richard A. Formato

Variable Z0(VZ0) antenna technology is a new design or optimization methodology applicable to any antenna on any platform designed or optimized with any procedure. It should be particularly useful for wireless devices populating the Internet of Things. VZ0expands the design or decision space by adding another degree of freedom invariably leading to better antennas. A simple design example illustrates its effectiveness.


2008 ◽  
Vol 26 (2-4) ◽  
pp. 161-181 ◽  
Author(s):  
Gerhard Andersson ◽  
Jan Bergström ◽  
Monica Buhrman ◽  
Per Carlbring ◽  
Fredrik Holländare ◽  
...  

2019 ◽  
Vol 43 (5) ◽  
pp. 799-817 ◽  
Author(s):  
Ivan-Damir Anic ◽  
Jelena Budak ◽  
Edo Rajh ◽  
Vedran Recher ◽  
Vatroslav Skare ◽  
...  

Purpose The purpose of this paper is to investigate the relationship between individual and societal determinants of online privacy concern (OPC) and behavioral intention of internet users. The study also aims to assess the degree of reciprocity between consumers’ perceived benefits of using the internet and their OPC in the context of their decision-making process in the online environment. Design/methodology/approach The study proposes comprehensive model for analysis of antecedents and consequences of OPC. Empirical analysis is performed using the PLS–SEM approach on a representative sample of 2,060 internet users. Findings The findings show that computer anxiety and perceived quality of regulatory framework are significant antecedents of OPC, while traditional values and inclinations toward security, family and social order; and social trust are not. Furthermore, the study reveals that perceived benefits of using the internet are the predominant factor explaining the intention to share personal information and adopt new technologies, while OPC dominates in explanation of protective behavior. Research limitations/implications Although the authors tested an extended model, there might be other individual characteristics driving the level of OPC. This research covers just one country and further replications should be conducted to confirm findings in diverse socio-economic contexts. It is impossible to capture the real behavior with survey data, and experimental studies may be needed to verify the research model. Practical implications Managers should work toward maximizing perceived benefits of consumers’ online interaction with the company, while at the same time being transparent about the gathered data and their intended purpose. Considering the latter, companies should clearly communicate their compliance with the emerging new data protection regulation. Originality/value New extended model is developed and empirically tested, consolidating current different streams of research into one conceptual model.


Author(s):  
Олег Евсютин ◽  
Oleg Evsutin ◽  
Анна Мельман ◽  
Anna Melman ◽  
Роман Мещеряков ◽  
...  

One of the areas of digital image processing is the steganographic embedding of additional information into them. Digital steganography methods are used to ensure the information confidentiality, as well as to track the distribution of digital content on the Internet. Main indicators of the steganographic embedding effectiveness are invisibility to the human eye, characterized by the PSNR metric, and embedding capacity. However, even with full visual stealth of embedding, its presence may produce a distortion of the digital image natural model in the frequency domain. The article presents a new approach to reducing the distortion of the digital image natural model in the field of discrete cosine transform (DCT) when embedding information using the classical QIM method. The results of the experiments show that the proposed approach allows reducing the distortion of the histograms of the distribution of DCT coefficients, and thereby eliminating the unmasking signs of embedding.


Author(s):  
Viery Darmawan ◽  
◽  
Rengga Asmara ◽  
Ira Prasetyaningrum

In the era of technological advances, tourists will first seek information about the tourist object to be addressed, even tourists often don't have a destination, so they have to search one by one via the internet. In determining travel plans, it is often to see one by one the review of tourist attractions and conclude the results will take a long time, while tourists need actual and fast information to determine the travel plans. In this study, the authors take a new approach, namely by creating a mobile-based travel planner system that compiles travel plans automatically by considering contextual information related to tourist location points, whether of tourist locations during travel days, travel opening and closing hours, so that it will increase travel efficiency without having to do the research manually which takes a long time. The system can also provide travel recommendations based on visitor comments sentiment on Google Places and is equipped with a trip route that will be generated automatically. This research is useful for helping tourists plan their trip actually because of the consideration of contextual information so that it will make it easier and save tourists time.


2021 ◽  
Vol 67 (1) ◽  
pp. 19-30
Author(s):  
Ivana Grujić ◽  
Marijana Petrović ◽  
Nataša Bojković

The continuous development of information and telecommunication technologies has led to the possibility of transferring data and information between people in real time, in just a few seconds, which has led to the emergence of new approaches to data collection. An example is crowdsourcing (networked mass of people), which involves collecting a large amount of defined data from a large number (mass) of people through the Internet, that is, embedded sensors in smart devices. These are most often mobile phones and then it is about the concept of mobile crowdsourcing – which is more widely accepted under the term crowdsensing. This paper shows how smart devices (mobile phones or tablets) can collect vibration data that occur while driving in road traffic – and still be used to detect irregularities in road infrastructure (potholes, bumps, etc.) in real conditions.


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