Integrating Technical Advance in Mobile Devices to Enhance the Information Retrieval in Mobile Learning

2014 ◽  
Vol 4 (1) ◽  
pp. 61-85 ◽  
Author(s):  
Zhaozong Meng ◽  
Joan Lu
Keyword(s):  
Mobile Devices ◽  
Limited Resource ◽  
Mobile Technologies ◽  
Learning Material ◽  
Material Distribution ◽  
Main Work ◽  
Long Time ◽  
Retrieval Mechanism ◽  
And Performance ◽  
Wireless Infrastructure

It has been a long time since the wireless technology is used for the interaction between teacher and learners in learning activities. The recent advance of the mobile technologies has created new chances improving the flexibility, efficiency, and functionality of the learning interaction systems. This investigation identifies the weakness of the existing systems, and integrates the emerging mobile technologies to establish an open interaction framework to effectively enhance the interaction using students faced mobile devices and public wireless infrastructure. The main work of this investigation contains: (1) a teacher-learner response model for mobile based interaction is proposed and is described with state machine logic; (2) a presentation-content retrieval mechanism is designed to efficiently utilize the limited resource; (3) the device independent and context-aware techniques are integrated to created cross-platform application with mobile device features; (4) an open media framework is created for flexible learning material distribution and question organization. A lightweight mobile oriented web-based wireless response system (mobile-WRS) is implemented as a case study. In-house testing and classroom application of the mobile-WRS in universities demonstrate that the proposed system outperforms the peer works in usability, interface, operational efficiency, learning material distribution, results presentation and performance assessment, etc.

Integrating Technical Advance in Mobile Devices to Enhance the Information Retrieval in Mobile Learning

2013 ◽  
Vol 3 (3) ◽  
pp. 1-25 ◽  
Author(s):  
Zhaozong Meng ◽  
Joan Lu
Keyword(s):  
Mobile Devices ◽  
Mobile Technologies ◽  
Learning Material ◽  
Material Distribution ◽  
Web Based ◽  
Main Work ◽  
Long Time ◽  
Retrieval Mechanism ◽  
And Performance ◽  
Wireless Infrastructure

It has been a long time since the wireless technologies are used in learning activities to promote the interaction between teacher and learners. The recent advance in the mobile technologies has created new chances improving the flexibility, efficiency, and functionality of the learning interaction systems. This investigation identifies the weakness of the existing systems, and integrates the emerging mobile technologies to establish an open interaction framework to effectively enhance the interaction using students faced mobile devices and public wireless infrastructure. The main work of this investigation contains: (1) a teacher-learner response model for mobile based interaction is proposed and described with state machine logic; (2) a presentation-content retrieval mechanism is designed to efficiently utilise the limited computation resource; (3) device independence and context-aware techniques are integrated to created cross-platform application with mobile device features; (4) an open media framework is built for flexible learning material distribution and question organization. A lightweight mobile oriented Web-based Wireless Response System (mobile-WRS) is implemented as a case study. In-house testing and classroom application of the mobile-WRS in universities demonstrate that the proposed system outperforms the peer works in usability, interface, operational efficiency, learning material distribution, results presentation, and performance assessment, etc.

Examining User Perception and Usage of Voice Search

2020 ◽  
Vol 5 (1) ◽  
pp. 40-47
Author(s):  
Ning Sa ◽  
Xiaojun (Jenny) Yuan
Keyword(s):  
Success Rate ◽  
Mobile Devices ◽  
Online Survey ◽  
Search Behavior ◽  
Mobile Technologies ◽  
User Perception ◽  
Daily Lives ◽  
Survey Results ◽  
Search Systems

AbstractWith the development of mobile technologies, voice search is becoming increasingly important in our daily lives. By investigating the general usage of voice search and user perception about voice search systems, this research aims to understand users’ voice search behavior. We are particularly interested in how users perform voice search, their topics of interest, and their preference toward voice search. We elicit users’ opinions by asking them to fill out an online survey. Results indicated that participants liked voice search because it was convenient. However, voice search was used much less frequently than keyboard search. The success rate of voice search was low, and the participants usually gave up voice search or switched to keyboard search. They tended to perform voice search when they were driving or walking. Moreover, the participants mainly used voice search for simple tasks on mobile devices. The main reasons why participants disliked voice search are attributed to the system mistakes and the fact that they were unable to modify the queries.

The 14th Annual AMSE Conference

1988 ◽  
Vol 5 (2) ◽  
pp. 311
Author(s):  
Mozaffar Partowmah
Keyword(s):  
North America ◽  
Nuclear Physics ◽  
Agricultural Research ◽  
Social Scientists ◽  
Electronic Engineering ◽  
Student Paper ◽  
Long Time ◽  
Continuous Support ◽  
And Performance ◽  
Sizable Number

The 14th Annual Conferknce of the Association of Muslim Scientistsand Engineers (ASME) was held during the weekend of qufur 2628,1409/0ctober 7-9, 1988, at the Islamic Center of North America in Plainfield,Indiana. Papers presented at the Conference dealt with a variety of subjectsranging from agriculture and health sciences to car manufacturing tips,computers, industrial, civil and electronic engineering, as well as resourcemanagement and organizational behavior.Members of the AMSS (Association of Muslim Social Scientists) whoattended the AMSE Conference, participated in the sessions with undividedattention. Dr. AbdulHamid AbuSulayman, the AMSS President, in his banquetspeech, stressed the need for an active AMSE that will eventually attracta more sizable number of Muslims in North America and coordinate theirscientific efforts for their common benefit.In a session entitled “Technology Transfer,” the Japanese and Koreanapproaches were contrasted with the Muslim world approach. A highlightof the Conference was the announcement of the A1 Khwarazmi Award thatthe AMSE will award annually to a distinguished Muslim scientist or engineer.The first Al Khwarazmi Award went to Dr. M.A.K. Lodhi of Texas A&MUniversity in appreciation of his continuous support for Muslim studentsand his long-time involvement in the AMSE in addition to his scientific interestand achievements in nuclear physics and field theory.The Best Student Paper Award went to the following: 1) Abdullah M.Elramsisi of Rochester Hill, Michigan for his paper “On Model-based ImageRestoration and Performance Evaluation;” and 2) Khatib Rajab of Morgantown,West Virginia for his paper on “Agricultural Research Needs and Prioritiesin Zanzibar as perceived by Administrators and Extension Workers.”Copies of all of the presented papers were distributed at the Conferenceand will be ppblished in the conference proceedings. Preprints and reprintsmay be obtained by writing to the AMSE office at P.O. Box 38, Plainfield,Indianna, 46168 ...

scholarly journals Mobility-Included DNN Partition Offloading from Mobile Devices to Edge Clouds

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 229
Author(s):  
Xianzhong Tian ◽  
Juan Zhu ◽  
Ting Xu ◽  
Yanjun Li
Keyword(s):  
Neural Networks ◽  
Energy Consumption ◽  
Mobile Devices ◽  
Wireless Network ◽  
Deep Neural Networks ◽  
Mobile User ◽  
Computation Offloading ◽  
Long Latency ◽  
Total Latency ◽  
And Performance

The latest results in Deep Neural Networks (DNNs) have greatly improved the accuracy and performance of a variety of intelligent applications. However, running such computation-intensive DNN-based applications on resource-constrained mobile devices definitely leads to long latency and huge energy consumption. The traditional way is performing DNNs in the central cloud, but it requires significant amounts of data to be transferred to the cloud over the wireless network and also results in long latency. To solve this problem, offloading partial DNN computation to edge clouds has been proposed, to realize the collaborative execution between mobile devices and edge clouds. In addition, the mobility of mobile devices is easily to cause the computation offloading failure. In this paper, we develop a mobility-included DNN partition offloading algorithm (MDPO) to adapt to user’s mobility. The objective of MDPO is minimizing the total latency of completing a DNN job when the mobile user is moving. The MDPO algorithm is suitable for both DNNs with chain topology and graphic topology. We evaluate the performance of our proposed MDPO compared to local-only execution and edge-only execution, experiments show that MDPO significantly reduces the total latency and improves the performance of DNN, and MDPO can adjust well to different network conditions.

scholarly journals On Performance of Sparse Fast Fourier Transform Algorithms Using the Aliasing Filter

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1117
Author(s):  
Bin Li ◽  
Zhikang Jiang ◽  
Jie Chen
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
High Efficiency ◽  
Theory And Practice ◽  
Long Time ◽  
And Performance ◽  
Binary Tree Search ◽  
The One ◽  
Sparse Fast Fourier Transform ◽  
L1 And L2

Computing the sparse fast Fourier transform (sFFT) has emerged as a critical topic for a long time because of its high efficiency and wide practicability. More than twenty different sFFT algorithms compute discrete Fourier transform (DFT) by their unique methods so far. In order to use them properly, the urgent topic of great concern is how to analyze and evaluate the performance of these algorithms in theory and practice. This paper mainly discusses the technology and performance of sFFT algorithms using the aliasing filter. In the first part, the paper introduces the three frameworks: the one-shot framework based on the compressed sensing (CS) solver, the peeling framework based on the bipartite graph and the iterative framework based on the binary tree search. Then, we obtain the conclusion of the performance of six corresponding algorithms: the sFFT-DT1.0, sFFT-DT2.0, sFFT-DT3.0, FFAST, R-FFAST, and DSFFT algorithms in theory. In the second part, we make two categories of experiments for computing the signals of different SNRs, different lengths, and different sparsities by a standard testing platform and record the run time, the percentage of the signal sampled, and the L0, L1, and L2 errors both in the exactly sparse case and the general sparse case. The results of these performance analyses are our guide to optimize these algorithms and use them selectively.

A model of mobile technologies acceptance for knowledge transfer by employees

2017 ◽  
Vol 21 (5) ◽  
pp. 1053-1076 ◽  
Author(s):  
Michal Kuciapski
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Conceptual Model ◽  
Mobile Devices ◽  
Mobile Technologies ◽  
Intention To Use ◽  
Content Type ◽  
Model Based ◽  
New Variables ◽  
Practical Implications

Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

Mind in eBay, body in Macy’s

2016 ◽  
Vol 10 (4) ◽  
pp. 288-304 ◽  
Author(s):  
Syagnik Banerjee ◽  
Phil Longstreet
Keyword(s):  
Virtual Worlds ◽  
Service Providers ◽  
Mobile Technologies ◽  
Content Type ◽  
Physical Context ◽  
Texting While Driving ◽  
Physical Environments ◽  
Routine Tasks ◽  
Media Reports ◽  
And Performance

Purpose With the ubiquitous diffusion of mobile-enabled internet, individuals are constantly immersed in both virtual and physical environments. While this causes distractions, lower attention spans and disasters such as texting while driving and walking, it also creates synergies and smoother navigational experiences. Technology developers, marketers and policy-makers are both concerned and intrigued to understand how to deploy these mobile technologies so as to optimize their disruptive impact. In this paper, the authors aim to develop a framework of dual consciousness to understand the potential causes and outcomes of individual’s simultaneous presence in physical and virtual worlds. Design/methodology/approach A careful review of past academic literature on behavior, as well as media reports of incidents of disruptions, led the authors to construct a 2 × 2 framework depicting behaviors that indicated high-low consciousness in physical, as well as virtual worlds. Findings In dual environments, individuals either dissociate from one of the environments or integrate both environments. While the former is driven by the multiplicity of irrelevant roles and goals, oblivion of relevant roles, perception of group norms and performance of practiced routine tasks, the latter is driven by strong executive control processes, focused singular goals and usage of the virtual environment to reinforce their physical tasks. The most affected parties are retailers, service providers, digital marketers and social media marketers. Originality/value Most prior research in interactive marketing examine effects of online stimuli on online behavior. This paper identifies the noise created by physical context on clicks as well as the interference created by virtual stimuli on physical purchases and service experiences.

scholarly journals Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Aref M. al-Swaidani ◽  
Waed T. Khwies
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Network Architecture ◽  
Supplementary Cementitious Material ◽  
Natural Pozzolans ◽  
Long Time ◽  
Ann Models ◽  
Artificial Neural ◽  
And Performance ◽  
And Training

Numerous volcanic scoria (VS) cones are found in many places worldwide. Many of them have not yet been investigated, although few of which have been used as a supplementary cementitious material (SCM) for a long time. The use of natural pozzolans as cement replacement could be considered as a common practice in the construction industry due to the related economic, ecologic, and performance benefits. In the current paper, the effect of VS on the properties of concrete was investigated. Twenty-one concrete mixes with three w/b ratios (0.5, 0.6, and 0.7) and seven replacement levels of VS (0%, 10%, 15%, 20%, 25%, 30%, and 35%) were produced. The investigated concrete properties were the compressive strength, the water permeability, and the concrete porosity. Artificial neural networks (ANNs) were used for prediction of the investigated properties. Feed-forward backpropagation neural networks have been used. The ANN models have been established by incorporation of the laboratory experimental data and by properly choosing the network architecture and training processes. This study shows that the use of ANN models provided a more accurate tool to capture the effects of five parameters (cement content, volcanic scoria content, water content, superplasticizer content, and curing time) on the investigated properties. This prediction makes it possible to design VS-based concretes for a desired strength, water impermeability, and porosity at any given age and replacement level. Some correlations between the investigated properties were derived from the analysed data. Furthermore, the sensitivity analysis showed that all studied parameters have a strong effect on the investigated properties. The modification of the microstructure of VS-based cement paste has been observed, as well.

scholarly journals IDA-Pay: a secure and efficient micro-payment system based on Peer-to-Peer NFC technology for Android mobile devices

2012 ◽  
Vol 8 (4) ◽  
pp. 117 ◽  
Author(s):  
Luca Mainetti ◽  
Luigi Patrono ◽  
Roberto Vergallo
Keyword(s):  
Mobile Devices ◽  
Near Field ◽  
Operating Mode ◽  
Peer To Peer ◽  
Payment System ◽  
Third Party ◽  
Payment Systems ◽  
Shopping Experience ◽  
And Performance ◽  
System Effectiveness

The evolution of modern mobile devices towards novel Radio Frequency (RF) capabilities, such as Near Field Communication, leads to a potential for delivering innovative mobile services, which is still partially unexplored. Mobile proximity payment systems are going to enhance the daily shopping experience, but the access to payment security resources of a mobile device (e.g. the “Secure Element”) by third party applications is still blocked by smartphone and Operating System manufacturers. In this paper, the IDA-Pay system is presented, an innovative and secure NFC micro-payment system based on Peer-to-Peer NFC operating mode for Android mobile phones. It allows to deliver mobile-to-POS micro-payment services, bypassing the need for special hardware. A validation scenario and a system evaluation are also reported to demonstrate the system effectiveness and performance.

scholarly journals English as a Foreign Language (EFL) Teacher's Perceptions and Use of Mobile Devices and Applications

2019 ◽  
Vol 5 (2) ◽  
pp. 190-202
Author(s):  
Elias Bensalem
Keyword(s):  
Saudi Arabia ◽  
Foreign Language ◽  
Mobile Devices ◽  
Teaching And Learning ◽  
Public Universities ◽  
Mobile Technologies ◽  
Tertiary Level ◽  
Online Questionnaire ◽  
Personal Learning ◽  
Efl Teachers

This paper reports on a study of how a group of tertiary level EFL teachers perceived and used mobile devices in their teaching and personal learning. One hundred and fifty teachers (66 female, 84 male) from public universities in Saudi Arabia completed an online questionnaire. Results showed that the majority of participants used mobile devices and applications in their teaching and learning. Survey data showed that the vast majority of teachers had positively perceived and frequently used mobile technologies in their teaching and personal learning. In addition, there was a correlation between teachers’ use of mobile technologies in their teaching and their use in learning. There was also a correlation between how teachers perceived the value of mobile technologies in learning, and how they use them in their teaching.

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