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Key determinants of M-learning adoption for optimal professional development in the workplace in South AfricaShapiro, Theresa January 2017 (has links)
Professionals often find it difficult to find time to attend training. Still in its infancy in
South Africa, mobile learning (m-learning) – learning using a web-enabled mobile
electronic device such as a cell phone or tablet – holds promise as a platform to
deliver relatively convenient and inexpensive learning programmes. This intensive
study sought to identify the factors key to m-learning adoption for professional
development and how they affected m-learning in a South African context.
Accountancy practitioners and business school students were invited to participate in
this study, and human resource directors were interviewed to gauge their responses
to similar questions from a corporate point of view. The constructs of Ally and
Gardiner’s Hybrid Smart Mobile Device Acceptance Model (2012), which explored
the moderating influence of device characteristics and usage on acceptance of smart
mobile devices, was adapted to form the framework for the study. Two dimensions
were added to the constructs of perceived usefulness and perceived ease of use
(relevance and tool sets) to explore what aided construction of meaning. The four top
factors – relevance, enjoyability, the perception of being in control, and motivation,
each bore a signifant relationship to the other, along with a sense of security,
organisational beliefs, and others’ beliefs. A third dimension – willpower, added to
explore hedonic motivation, brought to light issues that sapped willpower, rather than
supported it. Participants expressed a marked preference for independent rather
than social learning. While a sturdy framework for m-learning construction emerged
from this study, the findings are not generalisable. / MT2017
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Remote gaming on resource constrained devicesUnknown Date (has links)
Games have become important applications on mobile devices. A mobile gaming approach known as remote gaming is being developed to support games on low cost mobile devices. In the remote gaming approach, the responsibility of rendering a game and advancing the game play is put on remote servers instead of the resource constrained mobile devices. The games rendered on the servers are encoded as video and streamed to mobile devices. Mobile devices gather user input and stream the commands back to the servers to advance game play. With this solution, mobile devices with video playback and network connectivity can become game consoles. In this thesis, we present the design and development of such a system and evaluate the performance and design considerations to maximize the end user gaming experience. A gaming user experience model capable of predicting the user experience for a given gaming session is developed and verified. / by Waazim Reza. / Thesis (M.S.C.S.)--Florida Atlantic University, 2010. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.
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Remote monitoring and controlling of RF communication for a mobile deviceUnknown Date (has links)
In recent years there has been dramatic growth in mobile devices and
technologies. According to reports from comScore [1], 47% users in the United States
(aged more than 13) are using a smartphones as their primary phone. Smartphone offers
more advanced computing ability and connectivity than contemporary phones. In today’s
world, a user wants to keep their smartphones private, because of the personal
information present in it. Among these users, some of them are minors. This thesis
addresses the functionality to track/control the mobile activities of minors by their parents
using mobile phones. As a parent they want to know, whom his/her child is talking to and
for what they are accessing browser for. Cellular network companies are providing
number blocking services from the carrier side, but those are monthly paid services. In this thesis, we propose application architecture for remotely control the child phone
and grant access to selected numbers for call and text. We use the emerging Android mobile platform and Google nexus phones to implement and test the application. This architecture will help developers to make more innovative applications in future which helps parent to access child phone information. We performed a study and reported the result using the proposal. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2013.
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Adaptive power control in 802.11 networksUnknown Date (has links)
IEEE 802.11 networks successfully satisfy high data demands and are cheaper compared to cellular networks. Modern mobile computers and phones are equipped with 802.11 and are VoIP capable. Current network designs do not dynamically accommodate changes in the usage. We propose a dynamic power control algorithm that provides greater capacity within a limited geographic region. Most other power algorithms necessitate changes in 802.11 requiring hardware changes. Proposed algorithm only requires firmware updates to enable dynamic control of APs transmit power. We use earlier studies to determine the limit of the number of users to optimize power. By lowering transmit power of APs with large number of users, we can effectively decrease the cell size. The resulting gap is then covered by dynamically activating additional APs. This also provides greater flexibility and reduces the network planning costs. / by Serkan Dural. / Thesis (M.S.C.S.)--Florida Atlantic University, 2009. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2009. Mode of access: World Wide Web.
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Design of asset tracking device with GPRS InterfaceMaharaj, Robin January 2019 (has links)
Thesis (Master of Engineering in Electrical Engineering)--Cape Peninsula University of Technology, 2018. / IOT devices have the potential to improve asset lifecycle optimization because of their ability to provide relevant real time data to high level applications. This data with minimal latency can assist asset managers to control the behaviour of assets and asset users to optimize asset lifecycle cost. There are many environments that require asset tracking devices but this design focussed on motor vehicles with auxiliary functions and apparatus. This research work documented the design of an asset tracking device built and tested on a 32.bit microcontroller platform with built-in CAN peripheral. This design resolved handling multiple serial interfaces collating data simultaneously concatenating this data and
transmitting the data via GPRS interface as a single UDP sentence. Apart from interfacing various serial interfaces to the Stm24f4 this design also implemented a Wireless module as well as a multichannel ADC Module. This design was accomplished by researching and implementing software techniques as well
as researching the hardware/firmware in terms of DMA and Nested Vector Interrupt Controller of the STM32 devices. The solution that this design will accomplish is to provide the industry an asset-tracking
device with data capturing functionality capable of delivering the above needs at reasonable data cost. The device designed in this thesis is the client device of asset tracking network. This design was accomplished on a proof of concept basis delivering built hardware in the form of various application modules interfaced to a 32 –bit microcontroller via uart, SPI and CAN.
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Service advancement strategy in analyzing the future of LTE-R for next-generation smart trainsLigwa, Mario January 2018 (has links)
Thesis (Master of Engineering in Electrical Engineering)--Cape Peninsula University of Technology, 2018. / This research investigates and presents selected issues and aspects related to the railway mobile network (GSM-R) analysis and its shortcomings. Research studies show that millions of South Africans commuters are dependent on trains for daily movement activities, which significate contribute towards economic growth. Over the two decades, the exponential growth in wireless broadband service indicates the need for GSM-R improvement so that it can support the modern IP based protocol. The principle of implementing the digital network in railway already demonstrated significate improvement in the railway environment, especially in communication and signalling. Train traffic and train communications are the most critical aspects of railway scenarios due to safety and reliability. Both features form fundamental content to this research thesis. The exponential increase in Internet protocol (IP) based services and higher bandwidth requirements in modern technology applications have pushed the current Global system mobile for railway (GSM-R) technology to its maximum capacity as such the (GSM-R) platform is going to obsolete soon. There is a great need for the development of improved IP based networks for the future of the next generation network for fast smart trains to meet desired higher data low latency while improving quality of service (QoS). The focus of the research study is on modelling of an effective sharing method between public LTE and LTE-R without addition mobile infrastructure by utilizing train access unit (TAU), the main purpose is for public network (LTE) to handle railway emergency service including drop calls to improve quality of service (QoS). The second focus is an improvement of signal reception by spreading signals over wide spectrum range by utilizing Orthogonal variable spreading factor (OVSF) technique where LTE-R is not deployed as noted that this technique is deployed in the 3G network. The proposed scheme has adopted features in modern evolution communication and both scenarios were investigated modelled and simulated with comparison results showing better improvement in proposed conditions, there are many challenges in high-speed railway such as handover procedure and Doppler shift due to the velocity of the moving train.LTE-R has provided many solutions such as seamless handover, capacity availability as well as enhanced performance in both uplink and downlink. Digital evolution for railway GSM-R has been deployed in most developed countries in Europe and also expanded into Africa, there is a greater need for the seamless network to be developed due to an increased number of packet based services. Urban rail is the backbone of public transport in South Africa which is the Passenger Rail Agency of South Africa (PRASA). PRASA, and is the parent operator. Currently, PRASA has implemented digital railway network (GSM-R) to meet a high standard in railway. Modem demand and challenges require a cost-effective system to support IP orientated systems due to an increased number of packet-based services in the railway sectors.
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Smart campusUnknown Date (has links)
The Smart Campus project envisions a university campus where technology assists
faculty, staff, students and visitors to improve and more efficiently accomplish their daily
activities. The objective of this project is to develop a smart phone application that assists
users in finding a certain location on campus, locating their friends and professors,
interacting with any student or professors of the campus, get the count of users at certain
locations and remain updated about all the events and campus news. Through this project,
an idea of ‘Futuristic Social Network’ in a Campus is modeled and developed on Android
platform. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection
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Studies on performance aspects of smart wireless devices and related network servicesUnknown Date (has links)
This study is a focused effort on elucidating the performance aspects of modern,
handheld wireless devices and associated mobile network services. Specifically addressed
thereof are: (i) Assessing the performance details on certain hardware sections of smart
handheld devices and (ii) determining the performance profile of market penetration
considerations vis-à-vis provisioning mobile networks. To meet the scope of this research,
the projected efforts are exercised in compiling relevant literature and deciding the said
hardware and technoeconomic performance issues. Hence, written in two parts, Part A is
devoted to hardware performance details of smart, handheld devices relevant to (a) delay
issues in PCB layouts; (b) crosstalk problems at the baseband level (audio/multimedia) using
EMI concepts and (c) ascertaining non-catastrophic EMP/EMI effects at the RF-sections so
as to implement protection strategies via compensating networks. Part B is concerned with the technoeconomics of wireless networks in supporting mobile (handheld devices).
Correspondingly, two market related considerations versus service performance details are
considered. The first one refers to deducing a relative performance index that includes
technology (mobile speed) details plus economics profiles of the users in the service area.
The second task refers to elucidating a performance index of such services in terms of
hedonic pricing heuristics.
The theoretical aspects of the test studies as above are supplemented with
experimental and/or simulation details as appropriate. Hence, the efficacy of performance
details are discussed in real-world applications.
Lastly, possible research items for future studies are identified as open-questions. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2015. / FAU Electronic Theses and Dissertations Collection
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Function-based and physics-based hybrid modular neural network for radio wave propagation modeling.January 1999 (has links)
by Lee Wai Hung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 118-121). / Abstracts in English and Chinese. / Chapter 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Background --- p.1 / Chapter 1.2 --- Structure of Thesis --- p.8 / Chapter 1.3 --- Methodology --- p.8 / Chapter 2 --- BACKGROUND THEORY --- p.10 / Chapter 2.1 --- Radio Wave Propagation Modeling --- p.10 / Chapter 2.1.1 --- Basic Propagation Phenomena --- p.10 / Chapter 2.1.1.1 --- Propagation in Free Space --- p.10 / Chapter 2.1.1.2 --- Reflection and Transmission --- p.11 / Chapter 2.1.2 --- Practical Propagation Models --- p.12 / Chapter 2.1.2.1 --- Longley-Rice Model --- p.13 / Chapter 2.1.2.2 --- The Okumura Model --- p.13 / Chapter 2.1.3 --- Indoor Propagation Models --- p.14 / Chapter 2.1.3.1 --- Alexander Distance/Power Laws --- p.14 / Chapter 2.1.3.2 --- Saleh Model --- p.15 / Chapter 2.1.3.3 --- Hashemi Experiments --- p.16 / Chapter 2.1.3.4 --- Path Loss Models --- p.17 / Chapter 2.1.3.5 --- Ray Optical Models --- p.18 / Chapter 2.2 --- Ray Tracing: Brute Force approach --- p.20 / Chapter 2.2.1 --- Physical Layout --- p.20 / Chapter 2.2.2 --- Antenna Information --- p.20 / Chapter 2.2.3 --- Source Ray Directions --- p.21 / Chapter 2.2.4 --- Formulation --- p.22 / Chapter 2.2.4.1 --- Formula of Amplitude --- p.22 / Chapter 2.2.4.2 --- Power Reference E o --- p.23 / Chapter 2.2.4.3 --- Power spreading with path length 1/d --- p.23 / Chapter 2.2.4.4 --- Antenna Patterns --- p.23 / Chapter 2.2.4.5 --- Reflection and Transmission Coefficients --- p.24 / Chapter 2.2.4.6 --- Polarization --- p.26 / Chapter 2.2.5 --- Mean Received Power --- p.26 / Chapter 2.2.6 --- Effect of Thickness --- p.27 / Chapter 2.3 --- Neural Network --- p.27 / Chapter 2.3.1 --- Architecture --- p.28 / Chapter 2.3.1.1 --- Multilayer feedforward network --- p.28 / Chapter 2.3.1.2 --- Recurrent Network --- p.29 / Chapter 2.3.1.3 --- Fuzzy ARTMAP --- p.29 / Chapter 2.3.1.4 --- Self organization map --- p.30 / Chapter 2.3.1.5 --- Modular Neural network --- p.30 / Chapter 2.3.2 --- Training Method --- p.32 / Chapter 2.3.3 --- Advantages --- p.33 / Chapter 2.3.4 --- Definition --- p.34 / Chapter 2.3.5 --- Software --- p.34 / Chapter 3 --- HYBRID MODULAR NEURAL NETWORK --- p.35 / Chapter 3.1 --- Input and Output Parameters --- p.35 / Chapter 3.2 --- Architecture --- p.36 / Chapter 3.3 --- Data Preparation --- p.42 / Chapter 3.4 --- Advantages --- p.42 / Chapter 3.5 --- Limitation --- p.43 / Chapter 3.6 --- Applicable Environment --- p.43 / Chapter 4 --- INDIVIDUAL MODULES IN HYBRID MODULAR NEURAL NETWORK --- p.45 / Chapter 4.1 --- Conversion between spherical coordinate and Cartesian coordinate --- p.46 / Chapter 4.1.1 --- Architecture --- p.46 / Chapter 4.1.2 --- Input and Output Parameters --- p.47 / Chapter 4.1.3 --- Testing result --- p.48 / Chapter 4.2 --- Performing Rotation and translation transformation --- p.53 / Chapter 4.3 --- Calculating a hit point --- p.54 / Chapter 4.3.1 --- Architecture --- p.55 / Chapter 4.3.2 --- Input and Output Parameters --- p.55 / Chapter 4.3.3 --- Testing result --- p.56 / Chapter 4.4 --- Checking if an incident ray hits a Scattering Surface --- p.59 / Chapter 4.5 --- Calculating separation distance between source point and hitting point --- p.59 / Chapter 4.5.1 --- Input and Output Parameters --- p.60 / Chapter 4.5.2 --- Data Preparation --- p.60 / Chapter 4.5.3 --- Testing result --- p.61 / Chapter 4.6 --- Calculating propagation vector of secondary ray --- p.63 / Chapter 4.7 --- Calculating polarization vector of secondary ray --- p.63 / Chapter 4.7.1 --- Architecture --- p.64 / Chapter 4.1.2 --- Input and Output Parameters --- p.65 / Chapter 4.7.3 --- Testing result --- p.68 / Chapter 4.8 --- Rejecting ray from simulation --- p.72 / Chapter 4.9 --- Calculating receiver signal --- p.73 / Chapter 4.10 --- Further comment on preparing neural network --- p.74 / Chapter 4.10.1 --- Data preparation --- p.74 / Chapter 4.10.2 --- Batch training --- p.75 / Chapter 4.10.3 --- Batch size --- p.78 / Chapter 5 --- CANONICAL EVALUATION OF MODULAR NEURAL NETWORK --- p.80 / Chapter 5.1 --- Typical environment simulation compared with ray launching --- p.80 / Chapter 5.1.1 --- Free space --- p.80 / Chapter 5.1.2 --- Metal ground reflection --- p.81 / Chapter 5.1.3 --- Dielectric ground reflection --- p.84 / Chapter 5.1.4 --- Empty Hall --- p.86 / Chapter 6 --- INDOOR PROPAGATION ENVIRONMENT APPLICATION --- p.90 / Chapter 6.1 --- Introduction --- p.90 / Chapter 6.2 --- Indoor measurement on the Third Floor of Engineering Building --- p.90 / Chapter 6.3 --- Comparison between simulation and measurement result --- p.92 / Chapter 6.3.1 --- Path 1 --- p.93 / Chapter 6.3.2 --- Path 2 --- p.95 / Chapter 6.3.3 --- Path 3 --- p.97 / Chapter 6.3.4 --- Path 4 --- p.99 / Chapter 6.3.5 --- Overall Performance --- p.100 / Chapter 6.4 --- Delay Spread Analysis --- p.101 / Chapter 6.4.1 --- Location 1 --- p.103 / Chapter 6.4.2 --- Location 2 --- p.105 / Chapter 6.4.3 --- Location 3 --- p.107 / Chapter 6.4.4 --- Location 4 --- p.109 / Chapter 6.4.5 --- Location 5 --- p.111 / Chapter 6.5 --- Summary --- p.112 / Chapter 7 --- CONCLUSION --- p.I / Chapter 7.1 --- Summary --- p.113 / Chapter 7.2 --- Recommendations for Future Work --- p.115 / PUBLICATION LIST --- p.117 / BIBLIOGRAHY --- p.118
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Cell sectoring for CDMA cellular systems.January 2002 (has links)
Shen Fangzhong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 55-57). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgements --- p.iii / List of Figures --- p.vi / List of Tables --- p.ix / Chapter Chapter 1. --- Introduction --- p.1 / Chapter 1.1. --- Motivation --- p.1 / Chapter 1.2. --- Related Work --- p.2 / Chapter 1.3. --- Our Work --- p.2 / Chapter 1.4. --- Some Assumptions --- p.2 / Chapter 1.4.1. --- Beamforming --- p.2 / Chapter 1.4.2. --- Downlink Channel --- p.2 / Chapter 1.4.3. --- Single Cell --- p.3 / Chapter 1.5. --- Thesis Road Map --- p.3 / Chapter Chapter 2. --- Preliminaries of Cell Sectoring --- p.4 / Chapter 2.1. --- Introduction --- p.4 / Chapter 2.2. --- Beamforming --- p.4 / Chapter 2.2.1. --- Linear Array --- p.5 / Chapter 2.2.2. --- Circular Array --- p.8 / Chapter 2.2.3. --- Butler Beamforming Network --- p.9 / Chapter 2.2.4. --- Dynamic Beamforming --- p.10 / Chapter 2.3. --- Power Control --- p.16 / Chapter Chapter 3. --- Dynamic Cell Sectoring --- p.19 / Chapter 3.1. --- Introduction --- p.19 / Chapter 3.2. --- Minimum Total Transmission Power sectoring --- p.21 / Chapter 3.2.1. --- Problem Statement --- p.21 / Chapter 3.2.2. --- Shortest Path Problem Formulation --- p.23 / Chapter 3.2.3. --- Shortest Path Algorithm and Complexity --- p.26 / Chapter 3.2.4. --- Graph Reduction --- p.28 / Chapter 3.2.5. --- Example --- p.30 / Chapter 3.3. --- Power Equalization Sectoring --- p.33 / Chapter 3.3.1. --- Relationship Between MinTTP Sectoring and PE Sectoring --- p.33 / Chapter 3.3.2. --- Power Equalization Sectoring Algorithm --- p.36 / Chapter 3.4. --- Numerical Results --- p.37 / Appendix --- p.44 / Chapter Chapter 4. --- Resectoring Algorithms --- p.46 / Chapter 4.1. --- Introduction --- p.46 / Chapter 4.2. --- Nyquist Sampling Theorem --- p.47 / Chapter 4.3. --- MinTTP Resectoring --- p.47 / Chapter 4.4. --- PE Resectoring --- p.43 / Chapter 4.5. --- Handoff --- p.48 / Chapter 4.5.1. --- Handoff Load --- p.49 / Chapter 4.6. --- Performance --- p.49 / Chapter Chapter 5. --- Conclusion and Future Work --- p.53 / Chapter 5.1. --- Thesis Summary --- p.53 / Chapter 5.2. --- Future Work --- p.54 / Bibliography --- p.55
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